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DEPARTMENT OF COMMERCE AND LABOR 
BUREAU OF THE CENSUS 

S, N. D. NORTH, DIRECTOR 



BULLETIN 14 



PROPORTION OF THE SEXES IN 
THE UNITED STATES 




WASHINGTON 

GOVERNMENT PRINTING OFFICE 
1904 



Digitized by the Internet Archive 
in 2010 with funding from 
The Library of Congress 



http://www.archive.org/details/proportionofsexeOOunit 



DEPARTMENT OF COMMERCE AND LABOR 
i.,s. BUREAU OF THE CENSUS 

S. N. D. NORTH, DIRECTOR 



«?// 



BULLETIN 14 



PROPORTION OF THE SEXES IN 
THE UNITED STATES 




WASHINGTON 

GOVERNMENT PRINTING OFFICE 
1904 



,N^ 



7 AUG 1905 
D.ofD, 



CONTENTS. 



Page. 

Letter of transmittal 5 

Summary of results - - 7, 8 

Sex 8-21 

Definition of terms 8, 9 

Margin of error 9 

The United States 9, 10 

Continental United States 10 

Geograjihic divisions 10, 11 

States and territories 11 

Counties 11-14 

Physiographic divisions 14, 15 

City and country 15-21 

Sex and age 21, 22 

Sex and race 22-24 

Sex and school attendance. 24-28 

Sex and death rate 28, 29 

GENERAL TABLES. 

Table 1. — Total population, population living in cities of at least 25,000 inhabitants, and population living in smaller cities and 

country districts, classified by sex, with per cent male and female: 1900 30, 31 

Table 2. — Population of cities having at least 25,000 inhabitants, classified by sex, with per cent male and female: 1900 31, 32 

Table S.^Classification, by sex, of the population living in cities within specified limits of size and in country districts: 1900 34, 35 

Table 4. — Classification, by sex, of the population living in cities within specified limits of size and in country districts: 1890 36, 37 

Table 5. — Per cent male and female in the total population and in the population living in cities within specified limits of size 

and in country districts: 1900 38 

Table 6. — Per cent male and female in the total population and in the population living in cities within specified limits of size 

and in country districts: 1890 39 

Table 7. — Classification, by sex, of the population living in cities which had at least 2, .500 inhabitants in 1890 and were within 

specified limits of size in 1900: 1900 40, 41 

Table 8. — Classification, by sex, of the population living in cities which had at least 2,500 inhabitants in 1890 and were within 

specified limits of size in 1900: 1890 ^ 42, 43 

Table 9. — Population under and at least 5 years of age, classified by sex, and per cent distribution li\- sex, in cities having at 

least 25,000 inhabitants and in smaller cities and countr}- districts: 1900 44, 45 

Table 10. — Male and female population, by jihysiographic divisions, for continental United States and for main and minor geo- 
graphic divisions: 1900, 1890, and 1880 4ti, 47 

Table 11. — Per cent male and female in the population, by physiographic divisions, for continental United States and for main 

and minor geographic divisions: 1900, 1890, and 1880 48,49 

Tal)le 12. — Population at least 15 years of age attending school during the sensus year classified by sex, and per cent distribution 

by sex : 1900 and 1890 50 

Table 13. — Per cent of the population 5 to 24 years of age attending school during the census year classified by sex and race for 

continental United States; 1900 and 1890 51 

MAPS. 

Map 1. — Per cent male in total population, for states and territories: 1900 13 

Map 2. — Per cent male in total population, for states and territories: 1890 13 

Map 3. — Counties having an excess of females: 1900 14 

Map 4. — Counties having an excess of females: 1880 14 

Map 5. — Counties with majority of rural population male or female: 1900 17 

Map 6. — Counties with majority of ur))an iwpulation male or female: 1900 IS 

Map 7. — States and territories having an excess of females in the population attending school: 1900 24 

Map 8. — States and territories having an excess of females in the jiopulation at least 15 years of age atteiuiing school: 1900 25 , 

(3) 



LETTER OF TRANSMITTAL. 



DEPARTMENT OF COMMERCE AND LABOR, 

Bureau of the Census, 
Washington, D. C. , Navemier 15, 1904- 
Sir: 

I have the honor to transmit herewith Bulletin li of the )>ureau of the Census, presenting a discussion of 
the "Proportion of the Sexes in the United States." The derivative tables it contains have been prepared under 
the supervision of Professor Walter F. Willcox, of Cornell Universit}', special agent of the Census Bureau, and 
he has written the accompan3'ing text. Certain conclusions reached herein are of much scientific and practical 
importance. Thus it is shown that, notwithstanding the great excess of males in the United States as a whol«, 
the cities of the country contain a marked and increasing excess of females; that the reported excess of females 
at ages of 16 to 25 is probably illusory and due to a preference for that age period on the part of women, which 
leads to erroneous returns in enough cases to produce this result; that the reported excess of females at ages 
above 83 is probably due in the main to, and an evidence of, their greater average length of life; that some thousand 
foreign born Chinese were erroneously reported as natives of the United States, probablj' in the desire to avoid 
the stringent provisions of the exclusion law; that school attendance is increasing more rapidly among girls than 
among boys, and that the difference is most marked above the age of 15, at which age more than half the youth 
in school now are young women, while in 1890 more than half were young men; that the death rate of males in 
the registration area (19.0 per thousand) is about one-seventh greater than that of females (16.6 per thousand); 
and that this difference between the sexes, which is almost or quite absent between 10 and 20 years of age, is 
greatest in infanc}' and old age. 

Navy respectfully, 




Hon. Victor H. Metcalf, Director. 

Secretary of Commerce and Labm'. 

(5) 



PROPORTION OF THE SEXFS IN THE UNITED STATES. 



By Walter F. Willcox. 



SUMMARY OF RESULTS. 

In continental United States there are 1,638,321 more 
malos tlian females, or about 2 in each 100 people. 

Probably in the population of the world as a whole, 
and certainty in that half of it which has been counted 
with distinction of sex, there are several million more 
males than females. 

In continental United States, however, the relative 
excess of males is greater than the average for all 
countries. 

Europe has an excess of females; every other conti- 
nent, so far as known, has an excess of males. 

The whole population of continental United States 
was first counted with distinction of sex in 1820. 
During- the seventy years from 1830 to 1900 the absolute 
excess of males was greater at each census than at any 
preceding census with one exception, that of 1870, 
when the excess of males was less than in 1850 and 
I860.. 

This reduction of the excess of males between 1860 
and 1870 by about 300,000 was doubtless due to the 
deaths in the Civil War and the diminished immigration 
during the decade. 

The greatest relative excess of males was in 1890, 
when in each 10,000 people there were 212 more males 
than females. 

By 1900 this excess had decreased to 216 in 10,000, 
less than the relative excess in 1890 and 1860, but 
greater than that at each other census. 

The divisions of continental United States with the 
smallest proportion of males are the District of Colum- 
bia (47.4 per cent), Massachusetts (48.7 per cent), and 
Rhode Island (49.1 per cent); those with the largest are 
"Wyoming (62.9 per cent), and Montana (61.6 percent). 

As a rule sparsely settled regions have an excess of 
males and densel}^ settled regions an excess of females. 

Between 1890 and 1900 the divergence among the 
several states in this respect decreased and the propor- 
tion of males and of females in different sections became 
more nearly equal. 

In 1880 about one-fourth and in 1900 lews than one- 
sixth of the American counties had an excess of females. 

American cities as a rule have more females than 
males. In the 1,861 cities, each liaving in 1900 at least 

Bull. No. 14—04 2 



2,500 inhabitants, there were 201,969 more females than 
males, and this notwithstanding the many western cities 
which contained more males than females and the enor- 
mous number of foreign born in the country, five- 
ninths of them male and a large proportion of them 
living in the cities. 

This tendency of American cities to develop a pre- 
ponderatingly female population had increased since 
1890 when, in the 1,490 cities, each having at least 2,500 
inhabitants, there were 6,929 more males than females. 

While the excess of 6,929 males in American cities in 
1890 became an excess of 3iO,959 females in American 
cities in 1900, the excess of 1,519,559 males in country 
districts in 1890 became an excess of 1,840,280 males in 
1900. 

Or, expressing the facts in ratios, of each 1,000 inhab- 
itants of such cities in 1890, 500 were males and in 1900, 
497 were males; of each 1,000 inhabitants living out- 
side these cities in 1890, 519 were males and in 1900, 
520 were males. The difference thus in the number 
of males or of females between an average thousand of 
city and of country population in 1890 was 19 and in 
1900, 23. 

This conclusion is not materially modified when a 
more accurate method is emploj'ed and a comparison 
made between the figures in 1890 and 1900 for the same 
list of cities, namely, all which had at least 2,500 
inhabitants at each date. 

A marked and increasing dissociation of the sexes 
between city and country like that in the United States 
has been noted also in the leading countries of western 
Europe. 

On the other hand, there is a large excess of males 
in the principal cities of Russia and India, and in Hong- 
kong and Manila. 

This excess of females in the cities of western Europe 
and eastern United States is probably due mainly to the 
greater opportunity' for women to find employment in 
those cities and to their migration citj-ward in conse- 
quence. 

But even among children under 5 3'ears of age, a 
slight difference appears between cities having at least 
25,000 inhabitants and the rest of the country. In such 
cities there are 503 males to each 1,000 children; outside 
of them there are 506 males to each 1,000 children. 

(7) 



8 



These tigures support but do not prove the theory 
that the proportion of male children at birth is slightly 
less in cities than in country districts. 

Notwithstanding the great excess of males in the total 
population of the United States, there are 2 periods of 
life at which the reported number of females is greater. 
One, extending from about 83 years of age to the end 
of life, is probably due mainly to the longer average 
life of women; the other, from 16 to 25, is probably 
apparent rather than real, and due mainly to the greater 
number of women who claim, eri-oneously, to belong to 
this age period. 

Among the negroes there are a few more females 
than males; among the Indians, a few more males than 
females. The marked excess of males among whites 
and Mongolians is doubtless due to the influence of 
immigration. 

Among the Chinese said to have been born in the 
United States, nearly three-fourths are male, an incredi- 
ble proportion, which is probably due to the false return 
of several thousand immigrant Chinese as native in the 
efi'ort to elude the provisions of the exclusion laws. 

At each of the last 6 censuses there has been an ex- 
cess of males among native white population ranging, at 
each census except that of 1870, from one-quarter to 
three-quai'ters of a million. These figures are probably 
swollen by an indeterminate amount as a result of the 
return of a certain number of foreign born as native. 

In 1900, among the 13,367,147 persons attending 
school, 499 in each 1,000 were male and 501 female; in 
1890, in the same class, 510 per 1,000 were male and 
490 female. 

Among the whites attending school there is still a 
slight excess of males; among the Indians and Mon- 
golians, a very marked excess of males. The slight ex- 
cess of females in the total population reported in 1900 
as attending school is due to a very decided excess of 
females among the negro school attendants. 

In all races and in all parts of the country there has 
been a decided increase since 1890 in the proportion of 
females among persons attending school. This increase 
is due mainly to the increase in the proportion of 3'oung 
women among persons at least 15 years of age attending 
school, the increase at this age period being nearly five 
times as great as at any other and more than three 
times as great as the average increase for all ages. 

In 1890, among each 1,000 persons at least 15 years 
of age attending school, 528 were male; in 1900 only 
490 were male. 

No important change took place in the large cities. 
The change for the whole country was due to a rapid 
decrease outside of the cities in the proportion of young 
men among the persons at least 15 years of age attend- 
ing school, the figures for the country districts ap- 



proaching rapidly the proportion found in cities in 1900 
and 1890. 

When the school attendants of a specified class are 
compared with the total population of the same age and 
class, a noticeable contrast between the negro and the 
foreign born white population appears, the per cent of 
female negroes attending school at each age being 
larger than that of male negroes, and the per cent of 
female foreign born whites attending school at each age 
smaller than that of male foreign born whites. 

Even for the age period 10 to 14 there has been, 
during the last decade, a slight decrease in the propor- 
tion of males attending school to male population, 
somewhat more than counterbalanced bj^ an increase in 
the proportion of females attending school to female 
population. 

The death rate of males in the registration area of 
the United States in 1900 was 19.0 per 1,000, and that 
of females 16.6 per 1,000, the former having a death 
rate higher by about one-seventh than the latter. In 
the 346 registration cities the death rate of males was 
20.0 and that of females 17.2 per 1,000, the male rate 
exceeding the female by one-sixth. In the rest of the 
registration area the male death rate was 15.8 and that 
of females 15.0 per 1,000, the male rate exceeding the 
female by one-nineteenth. 

The difference in the death rate of the sexes is appar- 
entl^' least between the ages of 5 to 14 and greatest at 
the 3'oungest and oldest ages. 

Life tables for Massachusetts, England, Prussia, and 
Norwaj^ confirm these conclusions and make them pre- 
cise. Thej' indicate that male children under 3 years 
of age have uniformly a higher death rate than female 
children. 

There is a period between 5 and 21 j'ears of age in 
which the death rate of females is slightly higher than 
that of males. According to the Massachusetts life 
table this period covei's seventeen years, 5 to 21; accord- 
ing to the Norwegian life table, eleven years, 6 to 15; 
according to the Prussian life table, nine years, 8 to 16, 
and according to the English life table, eight years, 14 
to 21. 

According to all the life tables the death rate of 
women between 20 and 30 years of age, at which ages 
probably four-fifths of the childbirths occur, was less 
than that of males. 

SEX. 

Definition of tei'ms. — There are no words in common 
use for human beings of the male sex and the female 
sex regardless of age, the words man and woman being 
confined to adults, and the words male and female 
including not merely the human but all animal species, 
the former being, therefore, too narrow, and the latter 
too broad. To modify the popular meaning of either 



set of terms was far easier than to attempt the intro- 
duction of a new pair. Census practice has chosen the 
second pair, and for census purposes the word male 
means a human being of the male sex and of any age; 
the word female a human being of the female sex and 
of any age. 

Margin, of error. — In this field of census work there 
is no ambiguity of terms, and in the United States there 
is no unwillingness on the part of any race, age, or class 
of the population to give correct answers to the ques- 
tion of sex. Hence the amount of conscious and inten- 
tional error in the answers is probably infinitesimal. 

But the census returns are obtained by enumerators 
who inquire from dwelling house to dwelling house 
throughout the United States regarding the families 
there residing. A small minority of the population 
have ho dwelling house even in the loose sense in which 
that term is defined by the Bureau of the Census, 
namely, the place where a person regularly sleeps.^ 
Such persons without habitation are somewhat likely 
not to be counted, and also are likely to be predomi- 
nantly males. Hence failures of enumerators to reach 
this class are likely to result in the omission of males 
more commonh' than of females. 

These reasons for anticipating a greater proportion- 
ate omission of males are not confirmed, however, by 
the results of a recount in Maryland. In 2 counties of 
the state and 11 of the 19 enumeration districts in a 
third county, a careful reenumeration was made soon 
after the original count, in the effort to gather evidence , 
upon which indictments of the enumerators for false 
and fraudulent returns might be based. The work was 
done under the direct and personal superintendence of 
officials trained in the Bureau, and there is no reason 
to doubt the accuracy of their conclusions. The reenu- 
meration showed a population of 60,934, and of these 
1,564 or 2.6 per cent had been omitted b^^ the enumer- 
ators. It included 31,762 males, and of these 817 or 2.6 
per cent had been omitted; it included 29,172 females, 
and of these 737 or 2.5 per cent had been omitted. 
Thus the difference in the per cent of omissions accord- 
ing to sex was insignificant. But in the case in hand 
a strenuous effort was made, for political reasons, to 
make the first enumeration absolutely complete. The 
political henchmen employed as enumerators and their 
superiors doubtless had fuller information regarding the 
male population, and especially the potential voters than 
regarding the females. This maj' perhaps account for 
the disagreement between the theoretical considerations 
and the results of a recount. On the whole, the results 
of this slight experimental test are believed to be insuf- 

' Twelfth Census, Instructions to Enumerators, Sec. 9i). 



ficient to outweigh the reasons already given for believ- 
ing that males are more usually omitted. 

The homeless class and the class whose homes or 
sleeping places are so ill-defined and unrecognizable as 
to escape the enumerators' attention constitute perhaps 
a larger proportion of the population in cities and towns 
than they do in any but the most sparse!}^ settled coun- 
try districts. If so, the omissions due to this cause would 
be more frequent in cities and towns than in country dis- 
tricts and majr be a factor in producing the excess of 
females in the urban districts of the United States. But 
this cause of error, if it exists, is probably a slight one, 
and exercises little influence upon the figures. As there 
seems to be no means of determining with certainty 
whether it exists, much le.ss is there any means of meas- 
uring its magnitude. There is no reason, therefore, to 
believe that misstatements of fact or omissions in the 
count, or the two combined, play a significant part in 
accounting for the sex composition of the population of 
the United States and its several parts. The reported 
facts may be deemed a correct mirror of the reality. 

The United. States. — The sex composition of the popu- 
ulation is known for 80,047,376, or 95.0 per cent of the 
84,233,069 persons in the United States in 1900. The 
facts for the several divisions appear in the following 
table: 

Table I. — Sex composition of the population of the United States about 

1900. 





Date of 
census. 


POPULATION. 


DIVISION. 


Total. 


Male. 


Female. 


Per 
cent 
male. 


Per 

cent 

female. 


Total 




80,047,376 


40,911,759 


39,135,617 


51.1 


48.9 






ContinentalUnited 
States 


1900 
1900 
1900 
1900 
1899 
1896 


75,994,575 

63, 592 

154,001 

91,219 

953,243 

2, 790, 746 


38,816,448 

45, 872 

106,369 

90,553 

472, 261 

1,380,256 


37, 178, 127 

17, 720 

47, 632 

666 

480,982 

1,410,490 


51.1 
72.1 
69.1 
99.3 
49.5 
49.5 


48.9 
27.9 
30.9 
0.7 
50.5 
50.5 


Alaska 


Hawaii 


Military and naval. 

Porto Rico 1 

Philippines- 



I War Department, Census of Porto Rico, 1899, page 164. 

•Philippiiii' Commission. Report for 1900-1901, Part ni, page 593. The census 
of the Phili[.piinN lakrn in 1903 has not yet progressed far enough to make it 
possible to iiitroducf li^'ures here. \ 

Table i shows that in Alaska and Hawaii about 7 
persons out of 10 are male, but in continental United 
States there are about 2 more males than females in an 
average 100 of the population, and in Porto Rico 
females are somewhat more numerous than males. As 
the sex composition of less than half the population of 
the Philippine Islands in 1896 is known, and as accord- 
ing to the Spanish census of 1887 the archipelago then 
showed a slight preponderance of males, little weight 
is to be given to the apparent preponderance of females 
in the enumerated population. 



10 



For purposes of comparison with the figures of con- 
tinental United States, the following- per cents from a 
trustworthy secondary authority have been introduced: 

Table II.— .fe composition of enumerated population in the m-eral 
continents.'^ 





POPULATION ABOUT 1890. 


CONTINENT. 


Total. 


Male. 


Female. 


Percent 
male. 


Per cent 
lemale. 


Total 


793,668,722 


399, 301, 857 


394,366,805 


50.3 


49.7 


Europe 


345, 732, 680 
82, 183, 775 
13, 765, 424 

347,917,223 
4,069,620 


170, 818, 561 
41,643,389 

6,994,064 
177, MS, 044 

2,197,799 


174,914,119 
40, 540, 386 

6,771,360 
170,269,179 

1,871,821 


49.4 
50.7 
50.8 
51.1 
54.0 


60.6 


America 

Africa 


49.3 
49.2 
48.9 


Australia 


46.0 



'Data from Karl Biicher, "Ueber die Verteilung der beklen Geschlechter 
auf der Erde," in Allgemcines Statistisches Archiy, Vol. II, page 374. 

So far as has been determined by enumeration (and 
in Africa only about one-twelfth and in Asia about two- 
fifths of the estimated population have been enumerated 
with distinction of sex) every continent except Europe 
has an excess of males, and in the total enumerated 
population of the earth there is a slig-bt excess of per- 
sons of that sex. About one-half of the total estimated 
population of the earth has been counted with distinc- 
tion of sex, and of this half 50.3 per cent were males and 
49.7 per cent were females. In every continent except 
Australia the number of the two sexes approaches close 
to equality. The relative excess of males in the United 
States is thus seen to be slightly greater than the prob- 
able excess in the world as a whole. Where the pop- 
ulation of countries little touched by civilization or 
reached by it only in recent years has been enumerated, 
and the proportion of the sexes has not been materially 
affected by immigration or emigration, it is usually 
found that the male population is somewhat in excess of 
the female. This is true in India and Japan and war- 
rants the inference that the same is probably true of the 
main bodies of unenumerated population, such as China 
and most of Africa. For this reason it seems not im- 
probable that the excess of males in the total population 
of the earth is somewhat greater than that indicated by 
the preceding figures. 

Continental United States. — For the first three cen- 
suses the sex composition of the negro population was 
not reported. On this account the earliest figures in 
Table iii are those for 1820. 



Tablk III. — Population of continental United States classified by sex: 
1S20 to 1900. 







POPULATION. 




NUMBER OF SEX SPECI- 
FIED IN EACH 10.000. 














CENSUS. 










Total. 


Male. 


Female. 


Excess of 
males. 


Male. 


Fe- 
male. 


E.X- 

cessof 
^males. 


1900.. 


76, 994, .576 


38, 816, 448 


37,178,127 


1,638,321 


5, 108 


4,892 


216 


18901. 


62, 947, 714 


32,237,101 


30, 710, 613 


1,526,488 


5,121 


4,879 


242 


1890=. 


62, 622, 250 


32,067,880 


30,554,370 


1,613,510 


6, 121 


4,879 


242 


1880.. 


50,155,783 


25,518,820 


24,636,963 


881,857 


5,088 


4,912 


176 


1870. . 


38,558,371 


19, 493, 665 


19,064,806 


428,769 


5,056 


4,944 


112 


I860.. 


31,443,321 


16,085,204 


15,358,117 


727, 087 


5,116 


4,884 


232 


1850.. 


23,191,876 


11,837,660 


11,354,216 


483,444 


6,104 


4,896 


208 


1840. . 


17,069,463 


8,688,532 


8, 380, 921 


307, 611 


5,090 


4,910 


180 


1830. . 


12,866,020 


6,532,489 


6,333,531 


198,968 


5,077 


4,923 


164 


1820.. 


9,638,453 


4,896,605 


4,741,848 


151,757 


5,080 


4,920 


160 



1 Includes population of Indian Territory and Indian reservations. 
' Excludes population of Indian Territory and Indian reservations. 

Table iii .shows that the numerical excess of males 
in 1900 was more than ten times what it was in 1820; 
that the excess increased steadily and rapidly from 
1820 to 1860, but decreased between 1860 and 1870 to a 
smaller amount than it was in 1850, a decrease due 
probably botli to the excess of deaths among males 
caused by the Civil War and also to the check upon 
immigration in that decade. The excess in 1880 was 
more than double that in 1870, and that in 1890, 70 per 
cent greater than that in 1880. During the last decade 
the increase in the excess of males has been less than for 
many decades. But this steady increase in the numer- 
ical excess is due mainly to the increase of population. 
The last two columns of the table show that the excess 
relative to population has been far more nearly con- 
stant. The relative excess of males decreased slightly- 
from 1820 to 1830, and then increased rapidly for thirty 
years until the eve of the Civil War. The decade 
between 1860 and 1870 reduced this excess by more 
than one-half, but from 1870 to 1890 the excess of 
males again increased so rapidly that in the lattei' year 
it was greater than at any other census, even that of 
1860. During the last decade there has been a slight 
decline in the relative excess of males, but the propor- 
tion at the end of the century was greater than at anv 
other census year except 1890 and 1860. 

Geogru2.>Mc divisions. — The number and per cent of 
males and of females in each state and territory and in 
each main division are given in the Abstract of the 
Twelfth Census, Table 38. The following table gives 
the .same information for the 11 minor divisions: 



Table IV.— SEX BY MIXOR GKOGRAPHIC DIVISIONS 


1900 AND 


1890. 










POPULATION. 


DIVISION. 


1900 1 


1890 


Per cent male. 


Per cent female. 




Male. 


Female. 


Male. 


Female. 


1900 


1890 


1900 


1890 








38, 816, 448 


37,178,127 


32,237,101 


30, 710, 613 


51.1 


51.2 


48.9 


48.8 






2,763,796 
7,761,081 
2, 240, .576 
2,982,019 
8,177,308 
.5,412,014 
3, 809, 666 
3, 372, 256 
700,953 
239, 085 
1,3,57,694 


2,828,221 
7, 693, 597 
2,223,905 
2, 996, 980 
7,808,273 
4,935,409 
3, 738, 091 
3,160,034 
531, 689 
202, 930 
1,0,58,998 


2, 313, 759 

6,366,898 

1,925,411 

.2,493,360 

6,916,423 

4,702,167 

3,241,635 

2,457,789 

518,882 

192, 749 

1,108,028 


2,386,990 

6, 339, 322 

1,934,638 

2,504,513 

6,561,882 

4,229,945 

3, 187, 619 

2, 283, 194 

348,676 

153, 628 

780,306 


49.4 
50.2 
50.2 
49.9 
51.2 
52.3 
60.5 
51.6 
56.9 
64.1 
66,2 


49.2 
50.1 
49.9 
49.9 
.51.3 
52.6 
50.4 
51.8 
59.8 
55.6 
.58.7 


.50.6 
49.8 
49.8 
50.1 
48.8 
47.7 
49.5 
48.4 
43.1 
45.9 
43,8 


60.8 


Southern North Atlantic . . 


49,9 




50.1 


Southern South .\tlantic 


50.1 


Eastern North Central 

Western North Central . 


48.7 
47.4 


Eastern South Central 


49.6 


Western South Central 


48.2 




40.2 


Basin and Plateau 


44.4 


Pacific 


41.3 



11 



Table iv shows that in each of the 11 divisions of the 
United States, except New England and the Southern 
South Atlantic, there was an excess of males in 1900, 
and that this excess reached its maximum in the Rocky 
Mountain states and territories where the males were 
nearl}^ 57 per cent of the entire population. It shows 
also what has appeared already from various points of 
view that the statistical differences between different 
parts of the United States have decreased in ten years. 
Thus in 1890 the males in New England were only 49.2 
per cent of the total population, while in the Rocky 
Mountain states they were 59.8 per cent, a difference of 
10.6 per cent. In 1900 the per cent of males in New 
England had slightly increased and that in the Rocky 
Mountain states had decidedly decreased; the differ- 
ence between the two extremes, therefore, declined 
from 10.6 to 7.5 per cent. 

States and ter'ritories. — In the following table the 
states and territoi'ies are arranged in two columns in 
the order of increasing per cent of males at each of the 
last two censuses: 

Table V. — States and territories arrartged in order of increasing 
proportion of males: 1900 and 1S90. 



STATE OR TERRITORY. 



District of Columbia 

Mfls.sfichusetts 

Rhode Island 

Maryland 

North Carolina 

South Carolina 

New York 

Georgia 

New Hampshire 

Virginia 

Connecticut 

New Jersey 

Alabama 

Louisiana 

Mississippi 

Maine 

Tennessee 

Ohio 

Kentucky 

Pennsylvania 

Delaware 

Vermont 

Indiana 

Utah 

Illinois 

Missouri 

Arkansas 

Michigan 

Wisconsin 

Iowa 

Texas 

Florida 

West Virginia 

Kansas 

Nebraska 

Minnesota 

Indian Territory 

New Mexico 

Oklahoma 

South Dakota 

Colorado 

California 

North Dakota 

Oregon 

Idaho 

Arizona 

Washington 

Nevada , 

Montana 

Wyoming 



1 
Per cent 


male: 


1900. 


47.4 


48.7 


49.1 


49.6 


49.6 


49.6 


49.7 


49.8 


49.9 


49.9 


60.0 


50.0 


50.1 


50.3 


50.4 


50.5 


50.5 


50.6 


50.8 1 


50.8 i 


51.0 


51.0 


51.1 


51.2 


51.3 


51.4 


51.5 


51.6 


51.6 


51.8 


51.8 


52.1 


52.1 


52.3 


52.9 


.53.2 


53.3 


53.4 


53.8 


53.8 


54.7 


65.3 


55.6 


56.3 


57.7 


.58.4 
58.7 


60.5 
61.6 
62.9 



STATE OR TERRITORY. 



District of Columbia 

Massachusetts 

Rhode Island 

North Carolina 

Connecticut 

Maryland 

New Hampshire 

New York 

South Carolina 

Virginia 

New Jersey 

Louisiana 

Alabama 

Georgia 

Maine 

Mississippi 

Tennessee 

Ohio 

Kentucky 

Pennsylvania 

Delaware 

Vermont 

Indiana 

West Virginia 

Illinois 

Florida 

Missouri 

Arkansas 

Wisconsin 

Iowa 

Michigan 

Texas 

Kansas 

Utah 

Minnesota 

Indian Territory 

New Mexico 

Nebraska 

South Dakota 

Norlh Dakota 

OKlahoma 

Arizona 

Oregon 

California 

Colorado 

Idaho 

W'ashington 

Nevada 

Wyoming 

Montiina 



Per cent 
male: 
1890. 



47. 
48. 
48. 
49. 
49. 
49. 
49. 
49. 
49. 
49. 
49. 
50. 
50. 
50, 
50. 
50. 
50. 
50. 
50. 
50. 
50. 
50. 
51. 
51. 
51. 
51. 
51. 
51. 
51. 
52. 
52. 
52. 
52. 
53. 
53. 
53. 
53. 
54. 
54. 
55. 
65. 
67. 
57. 
57. 
59. 
GO. 
62. 
63. 
64. 
65. 



The interpretation of Table v will be aided by a 
glance at two maps on page 13, the upper one grouping 
the states in the order of the per cent of males in 1900, 
the lower grouping them as they stood in 189U. From 



either table or maps it is apparent that the excess of 
males in the far Western states, while well marked at 
each census, was less conspicuous in 1900 than in 1890. 
The proportion of males in the states and territories at 
the head of the two columns changed little, but the 
proportion in those at the foot of the two columns fell 
notably: Montana, 3.6 per cent; Wyoming, 1.4 per 
cent; Nevada, 2.9 per cent; Washington, 3.3 per cent. 
The states in 1900 show a range of 15.5 per cent 
between the highest and lowest, while in 1890 thej' had 
a range of 17.6 per cent; moreover, the mean departure 
of the per cents from 50 was 3.3 for 1890 and only 2.7 
for 1900; both of these facts show that the changes have 
been in the direction of establishing a closer approach 
to equality in the proportion of the sexes and reducing 
the differences among the states and territories. 

Perhaps the most noteworthy fact revealed by Table 
V or the two maps is the position of Utah. In 1890 it 
had a smaller excess of males than any other state or 
territory in the Western division and 6 of the 12 states 
or territories of the Central divisions west of the 
Mississippi. By 1900 the excess of males had been 
still further reduced, so that its position in Table v rose 
from 34 to 24, with a per cent of males less than in 5 
states east of the Mississippi and all states west of that 
river except Louisiana. In West Virginia and Florida, 
both having an excess of males in 1890, the excess 
so increased that in 1900 the rank of West Virginia is 
9 and that of Florida 6 lower. 

Table v shows that the proportion of males in the 
District of Columbia is fulh' 1 per cent less than in any 
state or territory. From a table showing the densitj^ 
of population' it appears that the District of Colum- 
bia is much the most densely settled of the fifty divi- 
sions of the United States. Its very high density and 
the marked excess of females in its population may 
have some connection. Table v also shows that Rhode 
Island and Massachusetts, the second and third states 
in order of density of population, are third and sec- 
ond in the order of the preponderance of females, both 
of them differing not a little from the nearest states, a 
fact that would be in general conformitj'^ with the 
hj'pothesis. The most sparsely settled states and ter- 
ritories, moreover, have as a rule, the largest excess of 
males. These may be mere coincidences due to the 
fact that the sparsely settled regions are the states and 
territories of the far West to which men have migrated 
more than women and the densel}'^ settled regions are 
in the East, from which enough men have departed to 
affect the proportion of the sexes. 

Counties. — To ascertain whether densely settled com- 
munities in the United States generally have a pro- 
portion of females larger than that of sparsely .settled 
districts in their vicinity, the analA'sis has been ex- 
tended to the counties hy means of Table vi, in 
which the per cent of males is shown for the most 

'Twelfth Cen.?us, Abstract, Table 35. 



12 



densely settled and the most sparsely settled county in 
each state and territory. 

Table VI.— Per cent of males in counties of greatest and least density 
of poprdation, by states and territories: 1900.^ 



STATE OR TER- 
RITOEY. 



Alabama 

Arizona 

Arkansas 

California 

Colorafio 

Connecticut 

Delaware 

Florida 

Georgia 

Idaho 

Illinois 

Indiana 

Iowa 

Kansas 

Kentucky 

Louisiana 

Maine 

Maryland 

Massachusetts . . . 

Michigan 

Minnesota 

Mississippi 

Missouri 

Montana 

Nebraska 

Nevada 

New Hampshire. 

New Jersey 

New Mexico 

New York 

North Carolina . . 

North Dakota 

Ohio 

Oklahoma 

Oregon 

Pennsylvania . . . 

Rhode Island 

South Carolina . . 

South Dakota 

Tennessee 

Texas 

Utah 

Vermont 

Virginia 

Washington 

West Virginia . . . 

Wisconsin 

Wyoming 



County of great- 
est density of 
population. 



Jefferson 

Santa Cruz 

Pulaski 

San Francisco 

Teller 

New Haven... 

Newcastle 

Duval 

Fulton 

Latah 

Cook 

Marion 

Polk 

Wyandotte 

Jefliersou 

Orleans 

Androscoggin 
Baltimore city 

Suffolk 

Wayne 

Ramsey 

Adams 

St. Louis city . 

Silverbow 

Douglas 

Ormsby 

Hillsboro 

Hudson 

Santa Fe 

New York 

iVew Hanover , 
Grand Forks.. 

Hamilton 

Oklahoma. 

Multnomah .. 
Philadelphia. 

Providence 

Charleston 

Minnehaha... 

Davidson 

Galveston 

Salt Lake 

Chittenden . . . 
Alexandria... 

King 

Otiio 

Milwaukee ... 
Albany 



132. 6 
3.8 

80.2 
7,293.2 

52.6 
439.8 
252.8 

48.3 
674. 5 

12.1 
1,851.7 
493.1 
143.4 
478.6 
626.8 

1. 457. 4 
113.0 

16, 965. 2 

11, 988. 6 

557.2 

991.6 

70.4 

9,430.1 

46.8 

412,3 

24.1 

129.0 

8, 977. 9 

6.6 

32, 649. 2 

129.6 

17.1 

1,011,1 

36,3 

240,5 

9. 951. 5 
799.7 
128.1 

29.8 
236.2 
100.7 
101.2 

76.9 
654.9 

53.7 

432.6 

1,447.4 

3.0 



Per 
cent 
male. 



53.5 
54.0 
51.0 
53.9 
68.9 
50.3 
60.9 
49.9 
47.0 
54.8 
50.9 
49.6 
50.7 
62,2 
49,1 
47.4 
48.3 
47.8 
49.0 
49.3 
61,9 
47.5 
60.1 
69.9 
54.4 
54,9 
48,3 
.50.6 
52.7 
49.7 
46,8 
54.2 
48.5 
54.1 
58.3 
49,0 
48,9 
47.2 
53.5 
49,0 
50.1 
49.7 
49.5 
64.6 
62.5 
49.2 
50.0 
67.3 



County of least 
density of 
population. 



Baldwin 

Monave 

Poinsett 

Inyo 

Cheyenne 

ToJand 

Sussex 

Lee 

Charlton 

Custer 

Putnam 

Jasper 

DicKinson 

Morton 

Leslie 

Cameron 

Piscataquis... 

Garrett 

Dukes 

Oscoda 

Cook 

Greene 

Reynolds 

Dawson 

MePherson... 

Nye 

Coos 

Ocean 

Chaves 

Hamilton 

Dare 

Billings 

Geauga 

Beaver 

Harney 

Pike . .'. 

Washington . . 

Horry 

Armstrong ... 
Van Buren . . . 

Bailey 

San Juan 

Essex 

Bath 

Franklin 

Pocahontas... 

Forest 

Natrona 



Den- 
sity, 



8.3 

0.3 

9.7 

0.4 

0,3 

59.1 

46.4 

0.7 

3,4 

0,4 

27,0 

25,3 

20,1 

0,4 

17,0 

2.7 

4.7 

26.8 

45.6 

2.6 

0.5 

8.3 

9.8 

0.2 

0,3 

0.1 

16.3 

33,9 

0.4 

2.8 

11,7 

0,2 

36,8 

0,5 

0.3 

14,1 

73.0 

21.7 

(=) 

11,4 

(=) 

0,1 

11,6 

10,2 

0,4 

10.0 

1.0 

0.3 



Per 
cent 
male. 



51.4 
62.3 
56.1 
61.0 
59.5 
49,5 
51.3 
5.5,1 
62.5 
66,9 
63.9 
62,6 
53,3 
.59.2 
50,9 
52.0 
62,7 
52,4 
47,9 
65,3 
64,8 
54,4 
51.9 
61.2 
57.1 
60.4 
53.8 
60.5 
57,0 
58.2 
52.3 
62.2 
62,2 
57.0 
61.8 
50.8 
49.5 
50.4 
60,0 
51,8 
25,0 
63.9 
63,3 
52,2 
64,2 
56,0 
58.8 
64.8 



' The District of Columbia and Indian Territory are omitted in the table 
because they do not contain county divisions. 
- Less than one person to 10 square miles. 

Examination of Table vi shows that in 39 of the 48 
states and territories the most densely settled couutj' 
has a smaller per cent of males than the most .sparsely 
settled count}'. The hypothesis that there is some con- 
nection between a dense population and a preponder- 
ance of females as well as between a sparse population 
and a preponderance of males seems to be confirmed. 
Some instances are worthy of note. New York state 
contains the most densely settled county in the country, 



and also, in Hamilton county, one of the most sparsely 
settled east of the Mississippi. New York county has 
more females than males, wliile in Hamilton county 
nearly three-fifths of the population are males. In 
Fulton county, Ga. , which includes Atlanta, there are 
six more females than males in each hundred of the 
population, while in Charlton county, of the same state, 
much of which consists of Okefinokee swamp, there 
are five more males than females in every hundred of 
the population. 

Careful study of the preceding table shows that al- 
most without exception sparsely settled counties have 
a per cent of male population above the average. 
As a rule densely settled counties have a per cent of 
male population below the average, but there are a few 
exceptions. The character of the prevailing occupa- 
tions, such as mining and iron working in Jeflfei'son 
counter, Ala., may explain several of them. 

In the discussion of the figures for sex by states and 
territories it was shown that the differences in the pro- 
portion of the sexes among the several states have been 
decreasing. It would probably be ti'ue for counties also 
that the range between the extremes was less in 1900 
tlian in 1890, but the per cent of males in the total 
population of each county in 1890 has not been com- 
puted, and therefore this comparison can not be made. 
It is true, however, that while the total number of 
counties in continental United States has been steadily 
increasing in the last twentj' years, the number with 
excess of females has been steadily declining. In 1880, 
of 2,568 counties, 617, or 24.0 per cent; in 1890, of 2,789 
counties, 505, or 18.1 per cent; and in 1900, of 2,850 
counties, 161, or only 16.2 per cent, had an excess of 
females. The proportionate number of counties with 
excess of females in 1900 was thus only two-thirds of 
what it was in 1880. Two causes may be suggested as 
probably cooperating to explain the change: First, the 
normal proportion of the sexes, which was disturbed by 
the Civil War, has been gradually reestablished by the 
balance of births and deaths, and secondly, the decrease 
in the western migration of men has left fewer eastern 
sections with an excess of women. The total number 
of counties and the number and per cent of them with 
excess of females are given for the main and minor 
geographic divisions in the following table: 



Table VII.— NUMBER AND PER CENT OF COUNTIES WITH EXCESS OF FEMALES: 1900, 1890, AND 1880. 



DIVISION. 


TOTAL NUMBER OF COUNTIES. 


COUNTIES WITH EXCESS OF 
FEMALES. 


PER CENT OF COUNTIES WITH 
EXCESS OF FEMALES. 




1900 


1890 


ISSO 


1900 


1890 


1880 


1900 


1890 


1880 




2,850 


2,789 


2,568 


461 


605 


617 


16.2 


18.1 


24.0 








216 
67 
149 
520 
201 
319 
1,025 
435 
590 
772 
366 
416 
317 
136 
55 
126 


215 
67 
148 
496 
183 
313 
1,046 
434 
612 
750 
356 
394 
282 
116 
49 
118 


215 
67 
148 
484 
181 
303 
957 
423 
534 
693 
351 
342 
219 
74 
45 
100 


90 
31 
69 

225 
64 

161 
42 
35 
7 

100 
86 
14 
4 


97 
35 
62 

237 
70 

167 
36 
33 
'2 

133 

117 

16 

3 


119 

44 

75 

288 

83 

, 206 

32 

31 

1 

176 

161 

15 

2 


41.7 

46.3 

39.6 

43.3 

31,8 

60,5 

4,1 

8,0 

1,2 

13,0 

24,2 

3.4 

1.3 


45,1 

62,2 

41.9 

47,8 

88,3 

53,4 

3,3 

7.6 

0,3 

17,7 

32.9 

4.1 

1.1 


55.3 




65.7 




60.7 




69.5 




45.9 




67.7 


North Central division .. , 


3.7 




7.3 


Western North Central 


0.2 


South Central division . 


25.4 


Eastern South Central 


45.9 


Western South Central . 


4.4 


Western division 


0.9 






Basin and Plateau 


4 


3 


2 


7.3 


6.1 


4,4 





















13 

Map 1.— per CENT MALE IN TOTAL POPULATION, FOR STATES AND TERRITORIES: 1900. 




Map 2.— PER CENT MALE IN TOTAL POPULATION, FOR STATES AND TERRITORIES: 1S90. 




[lis At least 50 per cenl Male 



14 



Table vir shows that in the five divisions west of the 
Mississippi and also in the Eastern North Central divi- 
sion the counties with excess of females are in no case 
as many as 1 in 10, while in the other five divisions such 
counties constitute from more than 2 in 10 in the East- 
ern South Central to 5 in 10 in the Southern South At- 
lantic. The South Atlantic division at each census also 
has had a larger proportion of counties with excess of 
females than the North Atlantic division at the corre- 
sponding- census. The same is true when the two 
Eastern Central divisions and the two Western Central 
divisions are compared with each other. This differ- 
ence between North and South is probably connected 
with the greater effect of immigration upon the North. 
When the two sections are compared as wholes, ex- 
cluding the Western division, it appears that in 1890, 
51.0 per cent of the population of the North and 60.5 
per cent of that of the South were male, the North hav- 
ing 5 more males than the South in each 1,000 people. 
In 1900 the per cent of males was 50.9 in the North and 
50.6 in the South, showing at that census in the North 
only 3 more males in each 1,000 people.^ The distribu- 
tion of the sexes in the United States is being equalized 
not only as between East and West, but also as be- 
tween North and South. 

To illustrate further this decreasing number of coun- 
ties having an excess of females, two outline maps for 
the region east of a line from North Dakota to Texas 
have been prepared, showing the regions where the 
females exceeded the males in 1880 and in 1900. In 
the western half of the country not shown on these 
maps almost everj^ countj^ had an excess of males at 
each census. 

1 For figures from which these per cents have been derived, see 
Twelfth Census, Abstract, Tables 35 and 38. 



Comparison of these two maps shows that in Illinois, 
Wisconsin, and Michigan, there were a few more coun- 
ties in 1900 than in 1880 with an excess of females. 
These three states in 1880 had only two such counties, 
while in 1900 they had 13. In Ohio the number had 
fallen from 21 to 14; in Kentucky, from 20 to 10; in 
Tennessee, from 51 to 18; in Alabama, from 51 to 28. 
The two maps bring out much more clearlj' than Table 
VII the decreasing area in the eastern United States in 
which the female population outnumbers the male. 

Physiograpluc divisions. — In Table viii the popu- 
lation of the physiographic divisions in 1900 has been 
given with distinction of sex and with per cent of 
males and of females. 

Table VIII. — Sex by physiographic divisions. 



PHYSrOGRAPHIC DIVISION". 



Continental United States . 

New England hills 

Coast lowlands 

Coastal plain (east of the Mis- 
sissippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Lake region 

Interior timbered region 

Mississippi alluvial region . , . 

Prairie region 

Ozark hills 

Coastal plain (west of the 
Mississippi river) 

Great plains 

Rocky mountains 

Colinnbian mesas 

Great basin 

Plateau region 

Pacific valley 

Coast ranges 



population: 1900. 



Total. 



75,994,575 



10, 260, 163 
1,865,962 

6,427,635 
6, 809, 103 
4, 499, 072 
6, 070, 246 
9,671,215 
8, 129, 760 
1,227,094 
1:^,300,970 
1,203,880 

1,974,677 
1,052,719 
592, 972 
366, 758 
375, 345 
201,669 
995, 363 
1,079,992 



Male. 



38,816,448 



5,081,974 
938, 699 

3,217,201 
3, 369, .547 
2, 260, 992 
3, 120, 1S7 
4, 918, 303 
4,119,189 

631,749 
6, 916, .649 

021,772 

1,016,654 
677, 116 
346, 476 
203,786 
199,040 
117, 3.66 
579,839 
681, 170 



Female. 



5,178,179 
927, 253 

3,210,434 
3,439,556 
2, 238, 080 
2, 950, 109 
4, 652, 912 
4, 010, .671 

596, 345 
6,385,421 

682, 108 

958, 123 
475, 604 
246, 490 
152, 972 
176, 305 
84, 313 
415, .524 
498, 822 



Per 
cent 
male. 



49.5 
50.3 

50.1 
49.5 
60.3 
61.4 
61.4 
50.7 
51.6 
.52. 
51.6 

.51.5 
54.8 
58.4 
57.1 
53.0 
.68.2 
58.3 
.53.8 



Per 
cent 

fe- 
male. 



48.9 



50.5 
49.7 

49.9 
60.5 
49.7 
48.0 
48.6 
49.3 
48.6 
48.0 
48.4 

48. 5 
45.2 
41.6 
42.9 
47.0 
41.8 
41.7 
46. 2 




"^^--^ 





l^- 







Map 3. — Counties having an excess of females: 1900. 



j[ \P 4. — Counties having an excess of females: ISiO. 



15 



Table viii shows that in onlj- 2 of the 19 phj'sio- 
g-raphic divisions, namely, the New England hills and 
the Piedmont region, did the females outnumbei' the 
males, and that the excess of males rises to its maximum 
in the Rocky mountains. Pacific valley, and the Plateau 
]-egion, in all three of which it is over 58 per cent. In 
the Columbian mesas it is 57.1 per cent, while nowhere 
else does it reach 55 per cent. 

In the following table the per cent of male popula- 
tion for each of these physiographic divisions at the 
last three censuses is given, two series of per cents be- 
ing given for 1890, one including and the other exclud- 
ing the specially enumerated Indian population, the 
former being suitable for comparison with the figures 
of 1900, the latter with the figures of 1880. The full 
figures on which the per cents are based will be found 
in Tables 10 and 11 of this bulletin. 

Table IX. — Per cent male in the total population, for j^hysiographic 
divisions: 1900, 1890, and 1880. 



PHYSIOGRAPHIC DIVISION. 



Continental United States. 



New England hills 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Lake region 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) 

Great plains 

Rocky mountains 

Columbian mesas 

Great basin 

Plateau region 

Pacific valley 

Coast ranges 



PER CENT MALE IN TOTAL POPU- 
LATION. 



1900 18901 1890= 18S0 



51.1 

49.5 
60.3 
50.1 
49.5 
60.3 
51.4 
51.4 
50.7 
51.5 
52.0 
51.6 
61.5 
64.8 
58.4 
57.1 
53.0 
68.2 
58.3 
53.8 



49.3 
49.9 
50.0 
49.4 
60.4 
51.0 
61.8 
50.6 
51.7 
62.3 
51.7 
51.7 
66.8 
60.8 
58.8 
65.5 
68.6 
60.5 
66.9 



51.2 

49.3 
49.9 
50.0 
49.4 
60.4 
51.0 
51.8 
60.6 
51.7 
52.3 
61.4 
61.7 
57.2 
61.1 
69.1 
55.6 
61.7 
60.5 
56.9 



50.9 

48.9 
49.3 
49.7 
49.0 
49.7 
50.4 
61.8 
50.6 
51.5 
52.5 
51.3 
51.5 
61.2 
65.3 
62,8 
57.6 
68.4 
61.8 
57.6 



1 Includes population of Indian Territory and Indian reservations. 
- Excludes population of Indian Territory and Indian reservations. 

For all regions east of the Mississippi the two series 
of figures for 1890 agree. The table shows that in the 
New England hills and the Piedmont region, the only 
two regions having an excess of females in 1900, the 
proportion of males has been slowly increasing for 
twenty years. Three other phy.siographic divisions, 
namely, the Coast lowlands, the eastern Coastal plain, 
and the Appalachian valley, had an excess of females 
in 1880, but not in 1900. On the otiier hand, the per 
cent of males in the Rocky mountains has declined from 
66.3 in 1880 to 58.4 in 1900, and in the Plateau region 
the decline has been yet more rapid, from 68.4: to 58.2 
per cent, although there, as a result of the spai'seness 
of the population, the Indians present and counted in 
1900, but not in 1880, have exerted more influence upon 
the total figures. In the Pacific valle}', on the other 
hand, the decrease in the proportion of males has been 
less rapid, so that this physiographic division, which 
ranked fourth in order of excess of males in 1880, 
Bull. No. 14—04 3 



ranked second in 1900. In 1880 the diilerence between 
the extremes was 19.5 per cent and in 1900 it was only 
8.9, or less than half as great. 

City and country. — The fact has already been noticed 
that as a rule the most densely settled states and coun- 
ties have a larger proportion of females than the 
sparseh' settled ones in the same region. Especially 
noteworthy in this respect is the District of Columbia, 
the onlj^ distinctly urban member of the state and terri- 
tory group. It has 13 more females in 1,000 of its pop- 
ulation than any other state or teri-itory, and 22 more 
than any other except the two most densely settled 
states of Rhode Island and Massachusetts. (See Table v.) 
It may be that cities generally, like this particular city 
of Washington, have a larger proportion of females than 
the country districts in their vicinity. As previously 
explained, the line between city and country has been 
drawn for the purposes of this report at a population 
of 2,500. The sex distribution of the urban and rural 
population at the last census was as follows: 

T.ABLE X. — Population of continental United States living in cities 
having at least S,500 inhabitants and in country districts, classified 
by sex and per cent distribution by sex: 1900. 





population: 1900. 




Total. 


Male. 


Female. 


Per 
cent 
male. 


Per 
cent 
fe- 
male. 


Continental United States. 


75,994,575 


38,816,448 


37,178,127 


51.1 

49.7 
62.0 


48.9 


Cities having at least 2,500 in- 


30,583,411 
45,411,164 


15, 190, 726 
23,625,722 


15, 392, 685 
21,785,442 


50.3 




48 







The preceding figures show that in 1900 among 1,000 
inhabitants of cities there were 23 more females than 
among 1,000 inhabitants of countiy districts. On com- 
paring this difference with the figures in Table v, it will 
be seen that in the matter of sex distribution the differ- 
ence between city and country in 1900 was equal to that 
between New Jersey and Kansas, or taking Southern 
states for comparison, to that between North Carolina 
and Texas. It is clear, therefore, that in the United 
States the distribution of the sexes in city and country 
is very unlike. 

A similar difference between the proportions of the 
sexes in urban and rural districts appears in most of 
the countries of western Europe, and probalily indeed 
in most countries of the civilized world. Two note- 
worthy exceptions are found in the cities of Russia and 
India. Thus, of the three cities of Russia having over 
half a million inhabitants in 1897, in St. Petersburg 
there were 545 males to each 1,000 of the population; 
in Moscow, 567 males; and in Warsaw, 503. For all 
Russia the number of males in a thousand of the total 
population was 500. 

In India the preponderance of males in the great 
cities seems far greater than in Russia. In Calcutta, 



16 



according- to the preliminaiy report for the census of 
1901, there were 643 males in everj^ 1,000 of the popu- 
lation, in Bomba}' there were 616, and in Madras 505. 
In Hongkong in 1901 there were 726 males to 1,000 
population and in Manila in 1887 there were 682 males 
in 1,000 population. Apparently- the population of ori- 
ental cities as a rule has an excess of males and that of 
occidental cities as a rule an excess of females. 

This concentration of the female population in cities 
and of the males in country districts, when taken in con- 
nection with the facts that four-fifths of the urban 
popixlation of continental United States live in the North 
or West (for figures see Twelfth Census Bulletin No. 149, 
Table 21), and that in those regions the foreign born 
are very numerous, are predominautty male, and abound 
especially in the cities, seems unexpected enough to 
invite further analysis. For the figures on which the 
ratios of Table xi are based, see Tables 3 and 5 of this 
bulletin. 

Table XI. — Males in each 1,000 total population of cities having at 
least 2,500 inhabitants and of country districts, and excess of males in 
country districts, for main and minor geographic divisions: 1900. 





MALES IX EACH 
1,000 TOTAL POP- 
ULATION: 1900. 


Excess 
of males 




Of 

cities. 


01 cotm- 
try dis- 
tricts. 


try dis- 
tricts. 




497 


B20 


23 








493 
488 
49.5 

478 
481 
472 

.501 
499 
807 


515 
513 
516 

.506 
.511 
.503 

526 
.522 
629 

614 
.508 
621 

.579 
585 
5.55 
580 


22 




25 




21 




28 


Northern South Atlantic 


30 


Southern South Atlantic 


31 


North Central division 


24 




23 


AVestern North Central ... 


22 


South Central division 


488 
485 
491 


26 




23 




30 




537 
534 
508 
541 




RopVy MnimtfliTi 


61 




47 











Table xi shows that in each of the five main divisions 
and each of the eleven minor divisions the males are 
more numerous in countiy districts than thej- are in 
cities. The greatest difference is in the Rockj- Mountain 
division; the least in the Southern North Atlantic 
states — New York, New Jersey, and Pennsylvania. The 
difference is greater in the South than in the North, 
suggesting that the influence of immigration, while not 
powerful enough to overcome the tendency, may reduce 
the differences that otherwise would be found. When 
the comparison between the sex distribution of the 
population of the cities and the country districts is 
carried down to the several states and territories, as in 
Tables 3 and 5 of this bulletin, it appears that there were 
only two states, namelj', North and South Carolina, in 
which the female population outside of cities having 



at least 2,500 inhabitants outnumbered the male popu- 
lation. But when attention is confined to the urban 
population, females were in the majoritj' in every state 
east of the Mississippi and in the three Southern states 
west of the Mississippi, the only two southern divisions 
of which it was not true being Oklahoma and Indian 
Territory. West of the Mississippi the generalization 
holds true also of Iowa, Kansas, and Utah. 

The two accompanj'ing maps (Maps 5 and 6, pages 
17 and 18), one for the urltan and the other for the I'ural 
population, show the sex which is in the majority in 
each county. They have been limited to the territory 
in the eastern half of the country where alone the facts 
have enough significance to merit presentation in this 
form. 

Considering first Map 5 it appears that north of 
Mason and Dixon's line in the Atlantic states and north 
of the southern boundaiy of Tennessee in the Central 
states there are only a few scattered counties in which 
the females outnumber the males in the rural popula- 
tion. Most of such counties are found in the agricul- 
tural area of the Southern states from Virginia to Mis- 
sissippi, inclusive. Examination of a map showing the 
distribution of cotton growing,' or of one showing the 
counties in which negroes outnumber the whites,*^ indi- 
cates that there is a rough coincidence between the cot- 
ton belt, the black belt, and the counties in which a 
majority of the rural population is female. That female 
negroes in the United States outnumber the male has 
already- been mentioned. That female labor, especially 
of negroes, is employed in agriculture in the South to 
a degree unparalleled in the North is well known. 
These facts throw some light upon the areas in which 
the female i^opulation is in excess in the rural districts. 

Turning now to Map 6, that for urban population, one 
notices that north of Mason and Dixon's line and the 
Ohio river and east of the Mississippi river there are few 
large regions of contiguous counties no one of which 
contained any place of at least 2,500 inhabitants, with 
the exception of areas in northern Michigan and Wis- 
consin. Outside of the North Atlantic and Eastern 
North Central states, where the great majority of urban 
population is found, it is rather the exceptional county 
that contains any incorporated place of that size. The 
counties with a majority of males in their urban popu- 
lation lie mainly in the lumbering regions of northern 
New England, in the anthracite coal mining regions of 
eastern Pennsylvania, and the coal mining and iron 
working regions of western Pennsylvania and eastern 
Ohio. There is also a noticeable belt of such counties 
in a line stretching across northern Illinois to the INIis- 
sissippi river and eastward into Indiana and Michigan. 
But notwithstanding these exceptions, the marked pre- 
dominance of an excess of females in the urban popu- 
lation of the eastern half of the United States appears 

1 Twelfth Census, Statistical Atlaa, Plate 165. 
- Censu.s Bulletin 8, Map 5. 



17 

Map 5.— counties WITH MAJORITY OF RURAL POPULATION MALE OR FEMALE: 1900. 




Map 6.— counties WITH MAJORITY OF URBAN POPULATION MALE OR FEMALE: 1900. 




19 



clearly from Map 6 and the contrast between this and 
the excess of males in the rural population comes out 
from a comparison of the two maps. 

The fact that in the matter of sex distribution the 
diflferences between the several states were less in 1900 
than in 1S90 has already been mentioned. Whether 
the corresponding differences between city and country 
are decreasing is shown by the following table:' 

Table XII. — Per cent distribution by sex of the urban and the rural 
po2mlation of continental United States: 1900 and 1890. 





TOTiL POPULATION. 




1000 


1890 




Per cent 
male. 


Per cent 
female. 


Per cent 
male. 


Per cent 
female. 


■ Continental United States 


51.1 


48.9 


51.2 


48.8 


Cities having at least 2, 500 inhabitants. 


49.7 
52.0 


50.3 
48..0 


50.0 
51.9 


50.0 
48.1 







The preceding per cents show that the difference 
between city and country increased for both the male 
and the female population, from 1.9 in 1890 to 2.3 
in 1900. The absolute figures contained in Tables 3 
and 4 bring out this fact even more clearly. In the 
country districts in 1890 there was an excess of 1,519,559 
males; in 1900 the corresponding excess was 1,840,280, 
so that the excess of males in the country districts of 
the United States increased between 1890 and 1900 by 
nearly a third of a million (320,721), while the excess 
of males in the total population of the United States 
(see Table iii) increased by onlj^ 111,833. 

On the other hand, in the total population of the cities 
in the United States in 1890 there wei'e 6,929 more 
males than females. But in 1900 in these cities there 
were 201,959 more females than males. Accordingly, 
while the excess of males in the country districts in- 
creased (1890 to 1900) by nearly a third of a million, the 
excess of females in the cities increased by over one- 
fifth of a million. These figui'es show clearly the in- 
creased separation of the sexes between city and coun- 
try, females congregating more and more in the former 
and males in the latter. 

To the foregoing argument it might be objected with 
apparent force that there were 1,861 places which had 
at least 2,500 inhabitants in 1900 and only 1,490 above 
that limit of size in 1890, and that it is illegitimate to 
compare the sex pi'oportion in these two different 
groups. It may be conjectured in advance that the 
objection is more specious than substantial, because the 
371 small places which entered this class between 1890 
and 1900 probably had nothing like as much influence 
upon the figures as did the changes which went on dur- 
ing the same decade in the 1,490 cities, many of them 
large and populous. But the objection is too weighty 
to be put aside without examination. To meet it the 
comparison has been limited to the places which had 

'For detailed figures see Tables 3, 4, 5, and 6 of this bulletin. 



at least 2,500 inhabitants in 1890 and the population 
of which in 1900 was known with distinction of sex. 
Even this method is not theoretically perfect, for it 
ignores the influence of changes in municipal bounda- 
ries between 1890 and 1900. But this influence may be 
disregarded as probabh" negligible in amount and cer- 
tainly incalculable from the available data. The results 
reached by this refined method are given in Tables 7 
and 8 of the present bulletin. They show that in 1890 
the cities which had at least 2,500 inhabitants at each 
of the last two censuses had an excess of 956 males, 
and that in 1900 the same cities had an excess of 
223,702 females, a gain of 224,658 more females than 
males in the decade. By the other method the gain 
shown was 208,888. The country outside these cities 
had in 1890, 1,525,532 more males than females, and 
in 1900, 1,862,023, an increase of 336,491 more males 
than females in the decade as compared with one of 
320,721 indicated by the less accurate method. The 
initial surmise is thus verified, since it appears that the 
conclusions drawn by the first method are not modified 
in any important way by the more refined analysis to 
which the figures are subjected in Tables 7 and 8. 

It was onlj' in 1890 and 1900 that the population of 
all places having at least 2,500 inhabitants was given with 
distinction of sex, and it is only for that ten-year period, 
therefore, that one can get a measure of the dissocia- 
tion of the sexes between city and countrj^ and of its 
increase. 

This dissociation is characteristic of the civilization 
of western Europe and of the countries into which it 
has expanded. The explanation usually offered for it 
is the greater demand for female labor in cities, espe- 
cially in domestic service, and the greater demand for 
male labor in country districts, especially in agriculture. 
There is no doubt that this fact explains most of the 
difference revealed by the figures. Whether it is a 
complete explanation may be indicated by ascertaining 
whether the excess of females in the cities and of males 
in the country districts appears only at and after the 
age at which the individual becomes self-supporting. 
To get light upon this fact the figures for sex vn&y be 
combined with those for age. The age classification of 
the population of the United States has been carried 
for the last two censuses only for the several states and 
territories and for the cities having at least 26,000 
inhabitants. In introducing this refinement of analysis 
it is necessary, therefore, to draw the lino between city 
and country population at 25,000 instead of 2,500, and 
thus to class with the truly rural districts nearly 
11,000,000 persons living in places of between 2,500 
and 25,000 inhabitants. But as these constitute less 
than one-fifth of the entire population living outside of 
cities having at least 25,000 inhabitants, it is probable' 
that what is true of the latter class would hold true also 
for the really rural population. 

The results of this analysis of sex in combination 
with age an^ shown in Table 9 of this bulletin. In 1900 
among children under 5 years of age living in cities of 



20 



at least 25,000 inhabitants, 503 in 1,000 were male; 
among children of the same age living outside of these 
cities, 506 were male. Inspection of this table shows 
that in 37 states and territories the child population 
could be thus analyzed. In nearly three-fourths of 
these (27 of the 37) the proportion of male children 
without the large cities was greater than that within 
them. This smaller proportion of male children in cities 
is found in each of the five great divisions of the country 
except the Western and in all the eight minor divisions 
east of the Rocky mountains except New England. 
These facts indicate that minor influences probably co- 
operate with that of migration to establish the marked 
excess of females in the urban population of all ages 
and that some at least of these influences act upon 
young children. 

Among the population exclusive of infants under 5 
years of age, 33 states and territories out of 37 have a 
smaller proportion of males in the cities than outside 
of them; 23 of 37 have an actual excess of females in 
the large cities, while only 4 of the 49 have an actual 
excess of females outside of the large cities. 

At the censuses of Rhode Island and Massachusetts 
in 1895 the age and sex classification of the population 
Was tabulated and published for all towns and cities, 
and it is therefore possible to give for those states in 
1895 the per cent of males among children in the urban 
and the rural districts. The number of children living 
in Rhode Island in places of less than 2,500 inhabitants 
is so small that a per cent based upon them would 
be untrustworthy. For this reason the Rhode Island 
figures have been combined with those of Massachu- 
setts. In the rural districts of those two states 50.8 
per cent of the children under 5 years of age were 
male and 49.2 per cent female, while in the towns 
having at least 2,500 inhabitants only 50.2 per cent 
were male and 49.8 per cent female.' The Michigan 
census of 1894 makes it possible to get comparable 
results for that state. In the incorporated places 
having at least 2,500 inhabitants, among children under 
5 years of age 50.8 per cent were male and 49.2 per 
cent, female. In the rest of the state among the chil- 
dren 51.3 per cent were male and 48.7 per cent female." 

The figures from these states indicate that where it is 
possible to carry the anal_ysis down to the lowest limit 
of population employed by the Federal Census as a 
dividing line between city and country- there is a larger 
proportion of male children in the country districts 
than in the cities and towns. Whether these facts 
point to a larger proportion of male births in the 
country districts, as is sometimes alleged, the figures 
at hand do not enable one to judge. The inference 

" 'The figures were: lu the rural districts of Massachusetts and 
Rhode Island, total children under 5 years of age, 20,664; male, 
10,506; female, 10,158. In places having at least 2,500 inhabit- 
ants, total children under 5 years of age, 252,197; male, 126,626; 
female, 125,571. 

^The figures were: In the rural districts of Michigan, total 
children under 5 years of age, 166,963; male, 85,594; female, 
81,369. In places having at least 2,500 inhabitants, total children 
under 5 years of age, 97.016; male, 49,237; female, 47,779. 



is warranted, however, that the proportion of males 
among j^oung children in the rural districts in the 
United States is slightly higher than in the cities and 
towns, and that this is one cause, although a minor 
one, in explaining the preponderance of females iu 
cities and of males in the country districts. 

In Table xiii the 160 cities having at least 25,000 
inhabitants in 1900 are arranged in the order of de- 
creasing pel' cent of male population. The figures 
on which the per cents are based may be found in 
Table 2 of this bulletin. 

Table XIII. — Cities having at least 35,000 inhabitants, in order of 
decreasing per cent male in total population: 1900. 



Seattle, Wash 

South Omaha, Nebr 

Butte.Mont ^.. 

Portland, Oreg 

Spokane. Wash 

Superior. Wis 

Duluth, Minn 

Tacoma, Wash 

St. Joseph, Mo 

Pueblo, Colo 

East St. Louis, 111 

San Francisco. Cal 

Schenectady, N. Y 

Sacramento, Cal 

Johnstown, Pa 

Gloucester, Mass 

Joplin, Mo 

Omaha, Nebr 

Youngstown, Ohio 

McKeesport, Pa 

Newcastle, Pa 

Joliet,IIl 

Kansas city, Kans 

St. Paul, M'inn 

Bayonne, N.J 

Lincoln. Nebr 

Pittsburg, Pa 

Allegheny, Pa — .. 

South Beiid, Ind 

New Britain, Conn 

Peoria, III 

Sioux City, Iowa 

Memphis,' Tenn 

Birmingham. Ala 

Council Bluffs, Iowa 

Fort Worth, Tex 

Hartford, Conn 

Minneapolis, Minn 

Chicago, 111 

Houston, Tex 

Racine. Wis 

Elizabeth, N. J 

Hoboken, N.J 

Trenton, N. J 

Kansas City, Mo 

Springfield, Ohio 

Cleyeland, Ohio 

Columbus. Ohio 

Jersey City, N. J 

Waterbury, Conn 

Erie, Pa 

Little Rock, Ark 

Chattanooga, Tenn 

Scran ton. Pa 

Wilmington, Del 

Elmira, N. Y' 

St. Louis, Mo 

Dubuque, Iowa 

Akron, Ohio 

Chester, Pa 

Worcester, Mass 

Bridgeport, Conn 

New Hayen. Conn 

Auburn, N. Y 

Des Moines, Iowa 

Toledo, Ohio 

Dallas, Tex 

Brockton, Mass 

Denyer, Colo 

Atlantic City, N. J 

Buffalo, N.Y 

New Y'ork, N.Y' 

Dayenport, Iowa 

Reading. Pa 

Galyeston, Tex 

Dayton, Ohio 

Altoona. Pa 

Indianapolis, Ind 

Taunton. Mass 

Fitchburg, Mass 



Per cent 
male in 

total 
popula- 
tion: 1900. 



Paterson, N. J 

Los Angeles, Cal 

Milwaukee. Wis 

Jackson, Mich 

Canton, Ohio 

Chelsea, Mass 

Newark, N. J 

Oakland, Cal 

Easton. Pa 

Philadelphia, Pa 

Bay City, Mich 

Cedar Knpids, Iowa 

Boston. Mass 

San Antonio. Tex 

Camden, N. J 

W^heeling, \y. Va 

Rockford. Ill 

Eyansville, Ind 

Detroit, Mich 

\\'ilkesljarre. Pa 

Norfolk, \'a 

Allentown, Pa 

Louisyille. Ky 

Lynn, Mass 

York, Pa 

Fort Wayne, lud 

Springfield, 111 

Terre Haute, Ind 

G rand Rapids, JI ich 

Harrisburg, Pa 

Syracuse, N.Y 

Proyidence, R. I 

Cambridge. Mass 

Lawrence, 5Iass 

Saginaw, Mich 

Yonkers, N. Y' 

Knoxyille, Tenn 

Woonsocket, R.I 

La Crosse, Wis 

Quincy. Ill 

Salt Lake City, Utah 

Pawtucket. R. I 

Jacksonyille. Fla 

Cincinnati, Ohio 

Topeka, Kans 

Newport. Ky 

Passaic, N. J 

Fall Eiyer. Mass 

Oshkosh, Wis 

Albany, N.Y 

Baltimore, Md 

Sayannah, Ga 

Coyington, Ky 

Someryille, Mass 

Springfield, Mass 

Rochester. N. Y' -. 

Utica, N.Y 

Haverhill, Mass 

Holyoke, Mass 

New Bedford, Mass 

Nashville, Tenn 

Salem. Mass 

New Orleans, La 

Washington, D. C 

Lt)wcll, JIass 

Portland, Me 

Richmonrl, Va 

Lancaster, Pa 

Binghamton, N. Y' 

Lexington, Ky 

Mobile. Ala 

Manchester. N. H 

Maiden, INI ass 

Wil lianisitort. Pa 

Augusta, Ga 

Troy.N.Y' 

Atlanta, Ga 

Jlontgoraery, Ala 

Charleston, S. C 

Newton, Mass 



21 



That the prevailing' occupations have a very impor- 
tant influence upon the distribution of the sexes is 
strilj:ing-l3' illustrated by the diverse proportions in 
the adjacent cities of Troy and Schenectady, N. Y. 
Troy is engaged very largely in the manufacture of 
collars and cuffs, an industry that employs, in the 
main, female help. Probably in consequence of this 
fact there are only four cities in the United States in 
which the proportion of females in population is greater 
than it is in Troy. Schenectady, on the other hand, 
owes its recent rapid growth very largely to the elec- 
trical indu.stry. In that industry the wage-earners are 
mainly men. In consequence, Schenectadj' has a larger 
proportion of males in its population than in anj^ other 
city east of the Mississippi river except Superior and 
East St. Louis. 

The table also suggests that the demand and supply 
of domestic service is, perhaps, the most important 
single factor in dissociating the sexes. This is illus- 
trated by the fact that the three cities with the largest 
proportion of females in their population are Newton, 
Mass. (552 per thousand); Charleston, S. C. (541 per 
thou.sand); and Montgomery, Ala. (540 per thousand). 
These three cities, especially the first, are primarily 
well to do residential centers and less notable for man- 
ufacturing or trade. The large number of southern 
cities with a very high proportion of females in their 
population appears clearl}^ in Table xiii. Of the en- 
tire li.st less than one-fifth (29 of 160) are in the South, 
but of the 20 with largest per cent of females half are 
in the South. 

SEX AND AGE. 

As there were nearly one and two-thirds million more 
males than females of all ages in continental United 
States,' it naturally would be expected that there 
would be more males than females at each age. That 
this is not the case appears from Table xiv, which 
shows the proportion of males and females in each 
1,000 of the total population of the specified age.^ 

Table xiv shows that notwithstanding the marked 
excess of males in the entire population there are two 
periods of life^^namely, from 15 to 24 and from 80 to 
the close of life — in which the reported females are more 
numerous than the males. 

A more exact statement regarding the ages at which 
the number of females exceeds that of males may be 
derived from Twelfth Census, Vol. II, page xxxvi. Table 
XVI. This shows that in continental United States the 
females at the ages of 10 to 25 (except 21), 70, 75, 80, 
82, and 84 to the end of life were more numerous than 
the males of corresponding age. The greater number 
of females reported at ages over 83 may be accepted as 
correct and explained by the greater longevit}' of the 
female population. The greater number of females 
at the ages of 70, 75, and 80 is due probably to the 
greater concentration on round numbers on the part of 
aged women in stating their ages. 

'Table m. 

^For fifiures from which these proportions have been computed, 
see Twelfth Census, Abstract, Table 11. 



Table XIV. — Number of males mid females in 1,000 of each specified 
age group of the p)opulation of continental United States: 1900. 



QUINQUENNIAL AGE PERIOD. 


number in each 
1,000 popula- 
tion: 1900. 


EXCESS of— 




Males. 


Females. 


Males. 


Females. 


All ages 


511 


489 


22 








Age known 


510 
605 
605 
605 
496 
494 
509 
522 
527 
531 
532 
532 
518 
512 
512 
509 
503 
486 
460 
411 
386 
363 
635 


490 
495 
495 
495 
604 
506 
491 
478 
473 
469 
468 
468 
482 
488 
488 
491 
497 
614 
540 
689 
614 
637 
365 


20 
10 
10 
10 




Under 5 years 




5 to 9 years 




10 to 14 years 




15 to 19 vears 


8 
12 


20 to 24 years 




26 to 29 years 


18 
44 
64 
62 
64 
64 
36 
24 
24 
18 
6 




30 to 34 vears 




36 to 39 years 




40 to 44 yeare 




45 to 49 years 




50 to 64 vears 








60 to 64 years 




66 to 69 vears 




70 to 74 years 








80 to 84 years 


28 

80 

178 

228 

274 


85 to 89 years 




90 to 94 vears 




95 to 99 vears 




100 years and over 




Age unknoAvn 


270 







Whether this concentration was greater also on the 
part of women under 70 years of age can not be deter- 
mined from these figures. It may have been, and j^et 
not sufficiently so to make the reported number of 
women greater than that of men. To compare the 
sexes in this respect a measure of concentration is 
needed. It ma_y be found by the following method: 
Subtract from the number of persons reported at each 
multiple of 5 one-fifth of the total number of persons 
reported for the five-year period of which the multiple 
of 5 is the middle year. The remainder is the estimated 
number whose age was reported erroneously at the mul- 
tiple of 5. This would vary with the total population 
reporting and with the degree of inaccuracy. By com- 
puting the per cent it makes of the total number in the 
five-year period the former cause of variation is elimi- 
nated and the result is an approximate measure of con- 
centration on round numbers. 

The results reached by this comparison between the 
sexes for continental United States are stated, as 
follows:'' 



UOUSD NUiMBEK. 


MEASURE OF CON- 
CENTRATION ON 
SPECIFIED ROUND 
NUMBER IN AGE 
RETURNS. 


For 
males. 


For 
females. 


25 


1.1 
4.7 
3.0 
5.2 
4.5 
6.4 
3.3 
7. 7 
3.2 
5.7 
3.4 
4.6 
1.3 
4.6 


1.4 
4.3 
2.5 
5.0 
3.9 
7.0 
3.6 
8.7 
4.2 
7.4 
4.7 
7.1 
5.S 
8.6 


30 


35 


40 


45 


60 


65 


60 


65 


70 


76 


SO 


85 


90 





'For figures from which the oomputation has been made, see 
Twelfth Census, Vol. II, Table xvi. 



22 



The preceding statement shows that at the ages of 30, 
35, 40, and 45 erroneous replies, as indicated by concen- 
tration on round numbers, are more conmion among 
males than among females; that at the ages of 25, and of 
60 and over, the concentration on round numbers is 
more marked in the case of females; and that the differ- 
ence between the sexes increases with advancing age. 

As contributing to explain this greater concentration 
on round numbers in the statements of the ages of men 
30 to 45 years of age, it may be mentioned that the enu- 
merators, who visit the houses mainly during the work- 
ing hours, are met and answered by women more com- 
monly than by men. In consequence the proportion of 
men of working age, whose ages are reported by other 
persons than themselves, must be greater than the pro- 
portion of women. As to the general rule that errone- 
ous answers to the age question are made more often 
by women, it maj^ be noted that errors are made in 
larger proportion by illiterates than by persons possess- 
ing the rudiments of education, and the female sex is 
more illitei'ate than the male. Perhaps a larger propor- 
tion of women are unwilling to state their age. In 
such cases either the incorrect answers received or the 
estimated age entered bj^ the enumerators would be 
probably a multiple of five. 

But neither the greater longevity of women nor the 
greater tendency to state their ages in round numbers can 
be used to explain the greater number of women between 
16 and 25 years of age. It is most improbable that when 
the reported number of persons in the country between 
6 and 15 years of age at any one census shows, as it uni- 
formlj' does, a decided excess of males, the survivors of 
this gi'oup ten years later, namely, those reported as from 
16 to 25 years of age at the following census, should really 
have a decided excess of females, or that the immigrants 
of that age coming into the country should be so pi'edom- 
inantly female as to explain the difference. About 54 
per cent of the immigrants of all ages are male. The 
onljf tenable explanation of the excess of females at ages 
16 to 25 is that it is an error. It may arise from a tend- 
ency on the part of men 16 to 25 j-ears of age to state 
their age as below or above those years, or from a tend- 
ency on the part of women or girls not of those ages to 
return their age l)etween those limits or from both. The 
first hypothesis is improbable, and the best explanation 
is that a certain number of women not between 16 and 25 
years old report themselves at ages between those limits. 
The probable reason is that manj- women prefer to pass 
as at the age at which marriage is most common. It has 
been pointed out in the English census that there is an 
excess in the reported number of English women 21 to 
25 years of age. ' In Cuba it was found by the census of 
1899 that there was a decided excess in the number of 
women 15 to 19 j^ears of age, and that this was miich 
more marked at the ages 15 to 17 than for the ages 18 
and 19.^ The difference between results in England and 

' Census of England and Wales, 1891, General Report, page 28. 
^ War Department, Census of Cuba, 1899, pages 95 and 96. 



those in Cuba may be connected with the later average 
age at which women marry in England. The explana- 
tion suggested is supported somewhat b}"- the facts that 
among the non-Caucasian population of theUnited States, 
over nineteen-twentieths of which is negro, and in which 
the males for all ages outnumber the females, the excess 
of females appears as earl}' as the age of 14, and is main- 
tained for everj^ age except that of 21 years from 14 to 26, 
inclusive, while among the white population the excess 
of females does not manifest itself until the age of 18 is 
reached. One ma}' perhaps note an ascending scale in 
this particular roughly connected with the age of mar- 
riage. The excess of females among the total colored 
begins at the age of 14; that among the native white of 
foreign born parents, at the age of 15; that among the 
foreign born white (notwithstanding the marked excess 
of males in the total foreign born white of ail ages), at 
the age of 16; and that among the native white of native 
parents, at the age of 18. 

SEX AND RACE. 

Of the four great races in the United States — white, 
negro, Indian, and Mongolian — each except the negro 
has an excess of males." AVith Mongolians and whites 
this is due mainly if not entirely to immigration, but 
the number of immigrant Indians is so small — less 
than 1 per cent of the entire number in the country — 
that the excess of male Indians can hardly be ascribed to 
that cause. If attempt be made to exclude its influence 
by confining attention in each case to the natives, it 
appears that among native whites, native Indians, and 
native Mongolians, there is an excess of males.' But 
among the 9,010 Chinese reported as born in this 
country nearlj^ three-fourths (73.9 per cent) were re- 
ported as male. This is an incredible proportion. 
Either the sex or the birthplace has been erroneously 
reported, or if correctly reported, erroneously tabu- 
lated. That the former is the more probable hypothesis 
is indicated b}' the fact that in one case in which 202 
errors in the ultimate results were traced to ascertain 
their source it was foiuid that 181 or alx)ut nine-tenths 
were made in the enumeration and 21 or only about 
one-tenth were made in course of tabulation.^ This 
a priori probability is confirmed b}^ evidence to be pre- 
sented later (page 23), that many foreign born Chinese 
in the United States have a strong motive for reporting 
themselves as native. It is likely, therefore, tliat the 
errors thus revealed in the results were errors made 
in the enumeration and not errors made in the office. 
In reporting nativity there seems to be more chance of 
error than in reporting sex. If it be assumed that the 
errors which certainly exist were made by the enumer- 
ators in reporting nativity, then several thoti.sand male 
Chinese really born abroad were reported as natives of 
the United States. If this be accepted, some clew to 

'Twelfth Census, Abstract, Table 3. 
'Twelfth Census, Abstract, Table 5. 

^See "Ncte on American Census Practice" in Journal of the 
Royal Statistical Society, Vol. LXIV, page 529 (September, 1901). 



23 



the magnitude of the error maj' be found by aid of two 
assumptions: (1) That the true number of Chinese born 
in the United States and remaining alive and in this 
country until June, 1900, was equall}' divided between 
the two sexes. (2) That the tendency to report foreign 
born Chinese as native applied equally to each sex. 
On these assumptions the number and per cent of errors 
in reporting the nativity of the Chinese are easily 
computed. The former is found to be 4,548 and the 
latter 5.3.' 

A satisfactory explanation of these erroneous figures 
is found in the last report of the Commissioner of Immi- 
gration. He shows that perhaps the most important 
way which Chinese immigrants have devised for evading 
the exclusion laws is for the foreigner to enter the 
country from Canada or Mexico, submit to arrest for 
violation of the law, and on trial to present Chinese 
testimony that he was born in the United States and is 
thus bj' birthright a citizen to whom the exclusion law 
has no application. A special report on the subject to 
the Commissioner of Immigration in 1903 says: "B}^ 

' The following solution of this interesting mathematical prob- 
lem has been kindly furnished b}' Professor James McMahon, of 
Cornell Universit}-. The numerical data will be found in Twelfth 
Census, Abstract, Tables 3, 4, and 5. Let F = true number of 
foreign born Chinese in the United States in 1900; N = the true 
number of Chinese native of and resident in. the United States in 
1900; r = the per cent of F who falsely claimed nativity; and7i = 
the per cent of females in F. Then from the census figures, by aid 
of the two assumptions already given, the following four equations 
may be written down: 

(1) F+N=89,863, the number of resident Chinese; 

7' 

(2) FXrnQ+N=9,010, the number claiming nativity; 

)i N 

(3) FXTQQ-fo" =4,522, the number of female residents; 

(71 \ r !N 
FXjQQ j jgQ+2 =2,353, the number of females claiming 

nativity. 

By subtracting (2) from (1) and (4) from (3) we liave 

(5) f(i 

(6) (fxj;^o)( 

and dividing (6) by (5) 



4) =80,853 



T^) =2,169; 



)t=2.68. 

Multiplying (3) by two and subtracting the product from (1) 
gives 



W hence 



=80.82. 



F=85,401, 

N=4,462, 
7'=5.325, 

and the total number of foreign born Chinese who were erroneously 
returned by the census enumerators as natives of the United States 
was 4,548, of whom 4,426 were males and 122 were females. 

Bull. Xii. 14—04 4 



this method thousands of Chinese — upon the admission 
of the Chinese themselves — have been allowed not only 
to enter and remain in the United States, but declared 
to be native born citizens thereof, each with a vote and 
qualified to participate in the political affairs of this 
countrv." 

This IN doubtless the true explanation of the incredi- 
ble figures of the census. Many Chinese immigrants, 
knowing that it would be to their advantage to pass as 
native Americans, falseh' reported themselves as born in 
the United States. 

The foregoing indications that a considerable propor- 
tion of Chinese born abroad were erroneouslj' returned 
as born in the United States suggest that a similar ex- 
planation may account for the excess of males in the 
native white population. It is a noteworthy fact shown 
in the following table that at each census for which the 
information has been reported the males outnumbered 
the females in the native white population of the United 
States. 

Table XV. — Native loldte population of continental Untied Stales 
classified by sex: 1850 to 1900. 



1900 
1890 
1880, 
1870 
1860 
1850 



NATIVE WHITE POPULATION. 



56, 59.5, 379 
ib, 862, 023 
36, 813, 291 
28, 095, 665 
22,869,805 
17,279,875 



Male. 



Female 



28, 686, 450 
23,2.51,474 
18,609,265 
14,086,509 
11,643,081 
8, 765, 352 



27, 908, 929 
22, 607, 549 
18,234,026 
14,009,156 
11,226,724 
8,514,523 





Per 


of males. 


cent 
male. 


777,521 


50.7 


646, 925 


50.7 


375,239 


60.5 


77, 353 


50.1 


416,3.57 


50.9 


2.50,829 


50.7 



Per 
cent 
fe- 
male. 



49.3 
49.3 
49.5 
49.9 
49.1 
49.3 



If the census returns on this point may be accepted as 
correct. Table xv indicates that among the native white 
population the males have decided!}^ outnumbered the 
females for half a century. Even the decimation of the 
male population bj' the Civil War was insufficient to 
bring the number of native white males in 1870 down 
to that of the native white females, and since that date 
the excess of males has apparently increased until in 1900 
it was in absolute numbers ten times as great as in 1870 
and far greater than ever before and relative to popu- 
lation greater than at any previous census except that 
of 1860. 

The present writer in analyzing the figures of pre- 
vious censuses on this subject reached the following 
conclusion in 1899: " It seems probable that a certain 
number of foreign born residents were reported as 
natives, and that this was more common among males 
than among females, either because they were more 
numerous, less informed, or less veracious, or because 
they were less likely to be seen personally by the enu- 
merators. * * * This tendency to call oneself a 



24 



native apparentlj- increases with age and the progress- 
ive Americanization it involves."' 

The new evidence brought to light by the figures for 
the Twelfth Census corroborates the conclusions reached 
at that time. Notwithstanding the prima facie evidence 
of the figures, one can not afiirni with confidence that 
there is any tendency to an excess of males in the na- 
tive white any more than there is in the native Chinese 
population of the United States. The negroes and the 
Indians, the two races practically unaffected b.y migra- 
tion, are the onlj^ ones about which the census returns 
on this point may be deemed trustworthy. Among 
them, as alreadj- indicated, we find an excess of females 
among the negi'oes and of males among the Indians. 

SEX AND SCHOOL ATTENDANCE. 

In 1900 there were 13,367,147 persons reported as 
attending school in continental United States. Of 
these 6,668,823 were male and 6,698,324 were female.' 
These figures show that among each 1,000 persons of 
all ages in school, 499 were male and 501 were female, 
a slight excess of females. The difference between the 
two sexes in 1900 was so slight as to be insignificant, 
but the trend of change during the preceding ten years 
and therefore the probable direction of the present 
movement are more important. In 1890 there were 
11,674,878 persons in school, of whom 5,954,142 were 
male and 5,720,736 were female.^ In other words, at 
that date, 510 persons out of every 1,000 attending 
school were male and 490 were female. In 1890, there- 
fore, among each 1,000 persons in school there were 20 
more males than females; in 1900, in a gi'oup of the 
same size, there were 2 more females than males. Or, 
stating" the same change in terms of increase, the male 
school population increased from 1890 to 1900 bj^ 12.0 per 
cent; the female by 17.1 per cent. 

This change seems important enough to deserve more 
detailed anal3'sis. In 1890 an excess of males among 
persons in school was found in each of the five main 
divisions of continental United States. Indeed, at that 
date there were, besides the District of Columbia, only 
four states, Virginia, South Carolina, Georgia, and 
Nevada, in which the female school population outnum- 
bered the male.* By 1900 the number of such states 
and territories had increased to 27.'^ Their location 
appears on the following map: 

'American Economic Association, New Series, No. 2, "The 
Federal Census, Critical Essays b}- Members of the American 
Economic Association," page 17. 

^Twelfth Census, Abstract, Table 16. 

'Eleventh Census, Population, Part II, page xxvii. 

* Eleventh Census, Population, Part II, Table 18. 

=■ Twelfth Census, Abstract, Table 56. 



Map 7. — States and territories having an excess of females in the popu- 
lation attending school: 1900. 




This map shows that in every Southern state except 
West Virginia, Kentuckj^ and Oklahoma the female 
school population outnumbers the male; that in five 
North Atlantic states, including the four most populous 
ones, the same is true; and that the largest area with 
excess of males in its school population is in the North 
Central group. 

This decrease between 1890 and 1900 in the propor- 
tion of males among persons in school applies to all 
distinguishable races. 

T.\BLE X\'I. — Proportion of males in the school population of conti- 
nental United States classified by race: 1900 and 1890. 





MALES IN EACH 1,000 PERSONS 
ATTENDING SCHOOL. 


KACE. 


1900 


181I0 


Decrease: 
1890 to 
1900. 


White 


.502 
465 
532 


512 

485 
568 


10 




20 


Indian and Mongolian 


36 







The decrease appears in each of the three classes, but 
it has been much greater among negroes, Indians, and 
Mongolians than among whites. 

These figures show that among whites there were 4 
more males than females in each 1,000 persons in school 
in 1900, and that the slight excess of females in the 
school population of all classes is due to the great excess 
of females in the negro school population counter- 
balancing the slight excess of males among the white 
school population and the great excess of males among 
the Indian and Mongolian .school population. Among 
1,000 negi'oes attending school there are 70 more females 
than males. It is possible that this ma}' be a geograph- 
ical rather than a racial difference; in other words, the 
excess of females might be characteristic of the South 



25 



rather than of the negro. To test this the white school 
population has been divided into northern and south- 
ern; the re.sult shows practically no geographic differ- 
ence within that race. Among 1,000 whites attending 
school in the North 602 are male; among 1,000 in the 
South 504 ai'e male. The tendency to an increased 
proportion of females is equally marked in each section, 
the proportion of males having fallen in the South from 
514 in 1890 to 504 in 1900 and in the North from 512 in 
1890 to 602 in 1900. The difference then is not merely 
geographical. Among 1,000 negroes attending school 
the females are in excess by YO; among 1,000 southern 
whites attending school the males are in excess bj' 8. 

The decrease in the proportion of males in school, 
which is true of all races, is true also of the four age 
classes for which comparable returns for 1890 and 1900 
are to be had. This is shown by Table xvii. 

Table XVII. — Proportion of males in the school jiopulation of conti- 
nental United States classified by age periods: 1900 and 1890. 





MALES IN EACH 1,000 PERSONS 
ATTENDING SCHOOL. 


AGE PERIOD. 


1900 


1890 


Decrease: 

1890 to 

1900. 


All ages - 


499 


510 


11 








.502 
505 
498 
490 


510 
607 
505 
528 


8 


5 to 9 vears 


2 






1-5 vears'and over . 


38 







These figures indicate that up to the age of 10 years 
more boys than girls are in school. But the slight dif- 
ference is no more than can be explained by the fact 
that in each 1,000 children 5 to 9 years old there are 10 
more boys than girls. The notable decrease between 
1890 and 1900 in the proportion of males among school 
children is due mainl}^ to the disproportionate increase 
of school girls 15 years old or more. In 1890 in each 
1,000 persons of this age period in school there were 56 
more boys than girls; in 1900 the sex proportion had 
so changed that there were 20 more girls than boj'S. 

To show the almost complete universality of this 
change in the sex composition of the population at least 
15 years of age attending school, Table 12 has been 
prepared. 

If persons of this age attending school ma}' be 
regarded as receiving what may be looselj' termed 
higher education, then the number of j'oung men 
receiving higher education increased, 1890 to 1900, 3.7 
per cent and the number of young women increased dur- 
ing the same decade 20.5 per cent. In several states, 
especially of the Western division, the change in the 
per cent of females was very great — New Mexico, 7.5; 



Idaho, 6.3; Iowa, 6.2; Washington, 6.1. In the fol- 
lowing map the states in which more than half the per- 
sons seeking higher education by attending school after 
the age of 15 were women, are indicated by hatching. 

Map S. — Stales and territories having an excess of females in the popu- 
lation at least 15 years of age attending school: 1900. 




The summaiy of results of Table 12, by main geo- 
graphic divisions, shows the following figures: 



DIVISION. 


MALES IN EACH 1,000 PER- 
SONS AT LEAST 15 YEARS 
OF AGE ATTENDING 
SCHOOL. 




1900 


1890 


Decrease; 
1S90 to 
1900. 




490 


528 


38 






North Atlantic division 


481 
478 
500 
493 
478 


512 
505 
545 
524 
520 


31 




27 




45 


South Central division 


31 




42 







The greatest decrease in the proportion of males 
among those pursuing what maj' I'oughly be termed 
higher education was in the North Central division, 
which is the one in which the proportion of males in 
1890 was greatest. The net result of all the changes 
was to reduce the difference between the extremes in 
1900 to little more than half that in 1890. The detailed 
figures for the minor divisions and the states and terri- 
tories of continental United States will be found in 
Table 12. It shows that in all but four of the states 
and territories — District of Columbia, Oklahoma, 
Arizona, and Nevada — the proportion of males among 
persons at least 15 }'ears of age attending school was 
less, and in most cases much less, in 1900 than in 1890. 

The tables of the Eleventh and Twelfth censuses make 
it possible to carrj' the analysis one step farther bj' dis- 
tinguishing the sex of school attendants in cities having 
at least 25,000 inhabitants and in the rest of the 
country. The following table summarizes the results: 



26 



Table XVIII —POPULATION AT LEAST 15 YEARS OF AGE ATTENDING SCHOOL DURING THE CENSUS YEAR CLASSI- 
FIED BY SEX AND PER CENT DISTRIBUTION BY SEX, IN CITIES HAVING AT LEAST 25,000 INHABITANTS AND 
SMALLER CITIES AND COUNTRY DISTRICTS: 1900 AND 1890. 





POPULATION AT LEAST 15 YEARS OF AGE ATTENDING SCHOOL DURING THE CENSUS YEAR 




ll'OU 


1S90 


Per cent male. 


Per cent female. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


1900 


1890 


1900 


1890 




2,605,426 


1,276,810 


1,328,616 


2,333,146 


1,230,863 


1,102,293 


49.0 


52.8 


61.0 


47.2 








434,465 
2, 170, 961 


205,774 
1,071,036 


228, 691 
1,099,925 


275,935 
2,067,211 


129,502 
1,101,361 


146,433 
965,860 


47.4 
49.3 


46.9 
63.5 


62.6 
60.7 


53.1 




46.6 







The table shows that the per cent of males among the 
older scholars in large cities has slightlj^ increased, but 
that outside of the cities it has greatlj^ decreased. The 
difference between city and country in this respect in 
1900(1.9 per cent) was less than one-third of what it 
was in 1890(6.6 per cent). The great change therefore 
is one that has been at work outside of the large cities, 
but not in them. 

To determine whether this change has occurred in 
all parts of the country, the analysis has been made for 
each of the five main divisions. 





MALES IN EACH 1,000 PERSONS AT LEAST 15 
YEARS OF AGE ATTENDING SCHOOL. 


DIVISION. 


In cities hav- 
ing at least 
25,000 inhab- 
itants. 


In smaller 

cities and 

country 

districts. 


I ncrease(-r) or de- 
crease (-) in ten 
years. 




In cities 
having 
at least 
25,000 
inhabit- 
ants. 


In 

smaller 

cities 

and 




1900 


1890 


ISOO 


1890 


country 
districts. 


Continental United States. 


474 


469 


493 


635 


+ 6 


-42 


North Atlantic division 

South Atlantic division 

North Central division 

South Central division 


487 
451 
473 
441 
448 


484 
440 
468 
422 
462 


477 
480 
604 
496 
486 


622 
511 
562 
628 
631 


-1- 3 
+11 
+ 5 
-1-19 
-14 


-45 
-31 
-48 
-32 
-45 









In each of the five divisions except the AVestern the 
proportion of males among the older scholars in the 
large cities increased between 1S90 and 1900, while 
outside the large cities the proportion of males de- 
creased in every division. Onlj' in the smaller cities 
and country districts of the North Central states do the 
males outnumber the females among the persons at least 
15 3'ears of age attending school. 

The figures indicate that in this matter conditions 
outside of the large cities, during the decade from 
1890 to 1900, have been rapidlj' approaching those 
within them. 

The decreasing proportion of males among persons 
in school, and the fact that thej^ now constitute a minor- 
ity of the school population, may be further illustrated 
by comparing the number of either sex in school with 
the number of the same sex and of age to attend school. 
This may be done by dividing the number 5 to 20 years 
of age in school by the total number of persons 5 to 20 
years of age inclusive. 



Among male children the per cent attending school 
in 1900 (50.2) was slightly less than that among female 
children (50.9). One reason for this slight difference is 
suggested by the following table: 

Table XIX. — Per cent attending school in the population of continental 
United States of each sex in specified age period: 1900.'- 





AGE PERIOD. 


PER CENT ATTEND- 
ING SCHOOL OF 
TOTAL POPULA- 
TIONINSPECIFIED 
AGE PERIOD: 
1900. 




Male. 


Female. 




60.2 
48.1 
78.8 
39.7 
12.1 


60.9 




48.1 




81.0 




44.0 


18 to 20 vear'^ 


11.2 







' The figures on ivhlch these per cents are based may be found in Twelfth 
Census, Abstract. Tables 14 and 15. 

At ages below 10 the proportion of boj^s and of girls 
attending school is the same, from 10 to 17 the propor- 
tion of girls is larger, and from 18 to 20 the proportion 
of boys is larger. The explanation probably is that at 
ages when earning mone3' is possible the proportion of 
boj^s kept from school for that purpose is rather 
greater than the proportion of girls. But of those 
boys who attend school a larger proportion go on to 
get a higher education in order to fit themselves for a 
more remunerative occupation. This explanation derives 
some support from an examination of the numbers at- 
tending school after reaching the age of 21 ^-ears. The 
males of voting age reported as attending school were 
11.3 per cent as manj^ as the males 16 to 17 years of 
age attending school. The females at least 21 years of 
age reported as attending school were onl}- 5.9 per cent 
as many as the females 15 to 17 j^ears of age attending 
school. The slightly larger proportion of girls of all 
ages in school is due, then, to the fact that a larger pro- 
portion of them remain in school after the age at which 
the earning of money usually' begins, offset parth^ but 
not entirely, by the larger proportion of boys who go 
on to some form of higher education involving school 
attendance after the age of 18 is passed. 

]n the following table the computation has been 
extended to the two main races in the United States, 
the white and the negro: 



27 



Table XX. — Per cent' attending school in the while and tlie negro 
popidalion of continental United Stales of each sex in each specified 
age period: 1900.^ 



AGE PERIOD. 



5 to 20 years . 
5 to 9 years . . 
10 to 14 years 
l.T to 17 vears 
18 to 20 years 



PER CENT ATTENDING SCHOOL OP TOTAL 
POPULATION IN SPECIFIED AGE PE- 
RIOD: 1900. 



White. 



Male. Female. 



63.4 
52.0 



42.0 
13.0 



53.9 
51,9 
84.8 
45.7 
11.8 



Negro. 



Male. Female. 



29.2 
23.2 
50.6 
23.8 
6.2 



32.7 
24.2 
57.0 
32.9 
7.8 



^The figures on which these per cents are based may be found in Twelfth 
Census, Vol. II, Tables .xvi and Li. 

These figures show that the difference Vjetweeu the 
sexes in the per cent of children 5 to 20 years of age 
attending school was slightl}' less for the whites and 
much greater for the negroes than the average for the 
entire population. The differences between the sexes 
among whites correspond closelj^ to those for the entire 
population, but among negro children at each age the 
per cent of girls attending school is larger than that of 
boys. The difference with children under 10 years of 
age is comparatively^ slight, but above that age it is 
marked. Among children 15 to 17 years of age, for 
example, less than one-fourth of the negro boys are 
attending school, while nearlj^ one-third of the negro 
girls were thus reported. 

The analysis ma}' be carried one step farther by dis- 
criminating between native white and foreign born 
white, as is done in the following table: 

T.vBLE XXI. — Per cent attending school in the native and the foreign 
born white pojndation of continental United Slates of each sex in each 
specified age period: 1900. ' 



AGE PERIOD. 



5 to 20 years. 
5 to 9 years. . 
10 to 14 years 
15 to 17 years 
18 to 20 vears 



PER CENT ATTENDING SCHOOL OF TOTAL 

POPULATION IN SPECIFIED AGE 

PERIOD: 1900, 



Native white. 



Male. 



54,6 
51.9 
83,7 
43,9 
14,3 



Female. 



55.2 
51,8 
85.4 
48.1 
13.1 



Foreign born 
white. 



Male. 



32.2 
58,4 
73,4 
16,4 
2,9 



Female. 



30.1 
57.9 
72.6 
15.8 
2.4 



'The ligures on wliich these per cents are based may be found in Twelfth 
Census, Vol. II, Tables ,\vi and i.i. 

Here, again, tlic figures for the native white agree in 
the main with those for the entire population and the 
white population. But among the immigrant white 
population, by a noticeable anomaly, the projiortion of 
children in school is greater for boys than for girls, and 
this holds for every age. Whether the fact is due to the 
greater demand for the labor of girls in the North and 
in cities where immigrants are most numerous, or is 
due to the more crying need of Americanization on the 
part of foreign Ijorn boys, who in later years will more 



inevitably be subject to the competitive struggle for a 
place and for advancement in the industrial system, can 
not be learned from the figures. 

The age classification in the statistics of school attend 
ance in 1890 differed from that employed in 1900. Con- 
sequently, in the following table only the first two age 
periods are comparable with those in the preceding 
tables: 

Table XXII. — Per cent attending school in the population of continental 
, United Stales of each sex in each specified age period: 1890.^ 



AGE PERIOD. 



5 to 19 years . 
5 to 9 years . . 
10 to 14 years 
15 to 19 vears 



PER CENT ATTEND- 
I.NG SCHOOL OF 
TOTAL POPULA- 
TION IN SPECI- 
FIED AGE PE- 
RIOD: 1890. 



Male. Female. 



54.7 
49,3 
79.2 
34,2 



63.8 
49.1 
80.3 
31.5 



1 The figures on which these per cents are based may be found in Eleventh 
Census, Population, Part II, Tables 1 and 10. 

In 1890 the proportion of male children 5 to 19 years 
of age attending school was slightlj' greater than the 
proportion of female children of the .same age; in 1900, 
as already shown, the reverse was true of the age period 
5 to 20. The difference may be due entirely, as it cer- 
tainly was partly, to the fact that in 1900 relative!}' 
fewer boys and more girls 10 to 14 years of age were 
reported as in school. 

Some further light is thrown on the situation b}- car- 
rying together the age and the race classification. In 
doing so, however, it is necessary to combine the figures 
for negroes with those for Indians and Mongolians, the 
reason being that in 1890 the age classification Mas not 
i-eported for the negroes alone. In computing the per 
cents it has been assumed that all persons attending 
school were less than 25 j'ears of age. 

Table XXIII. — Per cent attending school, in the total, the white, and 
the negro, Indian, and Mongolian population of continental United 
States of both sexes, and of each sex in each specified age period: 1900 
and 1890.^ 





PER CENT ATTENDING SCHOOL OF TOTAL POPULA- 
TION OF SPECIFIED RACE, SE.X, AND AGE: 1900 
AND 1890. 


RACE AND AGE. 


Total. 


Male. 


Female. 




1!)00 


18i)0 


WOO 


1S90 


1900 


1800 


Total: 


41.8 
48.1 
79.8 
17.5 

44.4 
52.0 
84.0 
18.4 

25.9 
23.9 
54.0 
11,6 


42.6 
49.2 
79.7 
18.3 

45.2 
53.4 
84.6 
19.2 

26.7 
24.2 
51.7 
12.4 


41.7 
48.1 

78.8 
17.3 

44.4 
52.0 
83,2 
IS, 4 

24,6 
23.4 
60.9 
10.1 


43.2 
49.3 
79.2 
19.4 

46.0 
53.6 
84.3 
20.5 

26.1 
23.8 
49,9 
11.7 


42.0 
48.1 
81.0 
17.7 

44.4 
51.9 
84.8 
18.4 

27.2 
24.3 
.57.) 
13,0 




5 to 9 years 


49 1 






15 to 24 years . . . 


17 ■' 


White— 

5 to 24 years 

5 to 9 years 

10 to 14 years 

15 to 21 years 

Neprro, Indian, and 
Mongolian— 

5 to 2 1 years 

5 to 9 years 

10 to 14 years 

15 to 24 years 


44.4 
53.3 
S4.9 
17.8 

27.3 
24.6 
53.6 
13.0 



1 For nb.soUite figures see Tnble 13. 



28 



The preceding table shows that the decrease between 
1890 and 1900 in the per cent of population 5 to 24 
years of age attending school applied to both races but 
not to both sexes, there being no decrease for the total 
female or the white female population and onlj' a very 
slight decrease for the non-Caucasian female. For the 
age period 5 to 9 there was a slight decrease for each 
race and sex; for the age period 10 to 14 there was a 
slight increase for the total, which was the resultant of 
a slis'ht deci'ease among whites and a decided increase 

too ^ 

among non-Caucasians. The decrease among whites 
10 to 14 resulted from a decrease of 11 per 1,000 among 
white males and 1 per 1,000 among white females. The 
decided increase among non-Caucasians was due to an 
increase of 10 per 1,000 among males and 35 per 1,000 
among females. For the age pei'iod 15 to 24 there was 
a decrease for each race, the decrease for whites being 
the resultant of a decrease of 31 per 1,000 among males 
and an increase of 6 per 1,000 among females, and the 
decrease for non- Caucasians being the resultant of a 
decrease of 16 per 1,000 among males and no change 
among females. 

All available evidence points to the conclusions that 
the tendenc}' to seek an education and especially a higher 
education through school attendance is stronger with 
girls than with bo}" s, that this difference pervades nearly 
all distinguishable areas and quite all distinguishable 
classes, and that it is producing a slight increase in 
the proportion of females attending school at all ages 
and a decided increase in the proportion among those 
at least 15 j^ears of age. 

SEX AND DEATH RATE. 

The only trustworthy information regarding the 
death rate of the sexes in the United States, obtained 
at the Twelfth Census, is derived from figures for the 
registration area, which included in 1900 a popula- 
tion of 28,807,269, or 37.0 per cent of the population 
of continental United States. This area included 
14,393,332 males, among whom, during the census year, 
^72,819 deaths were reported, indicating a death rate 
for males of 19.0 per 1,000. In the same area there re- 



sided 14,413,937 females, among whom, in the census 
year, 239,850 deaths were reported, showing a death 
rate for females of 16.6 per 1,000. These figures indi- 
cate that the death rate of males in the registration 
area, and therefore probablj'- in the entire United States, 
was about one-seventh higher than that of females, a 
difference which corresponds closely, with that between 
the death rates of the two sexes in most of the countries 
of Europe. 

The following table shows the population, deaths, 
and death rates, with distinction of sex, for the registra- 
tion cities — that is, the 346 cities having at least 8,000 
inhabitants for which the registration of deaths under 
local laws and ordinances was found to be sufficiently 
accurate for use b}" the Bureau of the Census — and also 
for the rest of the registration area. 

Table XXIV. — Population, deaths, and dcatli raie per 1,000 for each 
sex in the 346 registration cities and in the rest of the registration 
area: 1900. 



POPULATION: 1900. 



346 registration cities. . . ' 10, 743, 374 
Rest of registration area . 3, 649, 958 



Female. 



10,917,257 
3, 496, 680 



DEATHS: 1900. 



Male. 


Female. 


215,115 
57, 704 


187,551 
62,299 



DEATH . 

rate: 1900. 



Male. 


Fe- 
male. 


20.0 
15.8 


17.2 
15.0 



In the registration cities the male death rate exceeds 
the female by 2.8 per 1,000, while in the registration 
area outside of these cities the male death rate is in 
excess b\' onl}' 0.8 per 1,000. In the cities the male 
death rate is to the female as 116 to 100; outside the 
cities the ratio is only 105 to 100. This marked differ- 
ence in the ratio of the death rate of the two sexes in 
cit}^ and country is probably not compensated b}^ an 
equivalent difference in the ratio of the birth rates of 
the two sexes. If so, it probablj^ contributes to main- 
tain the large and growing excess of females in cities 
and of males in country districts alread}' revealed by 
the figures. 

Some additional light is thrown upon this difference 
hj considering the influence of age as well as that of 
sex. Results are shown in the following table: 



Table XXV.— POPULATION, DEATHS, AND DEATH RATE PER 1,000 IN THE REGISTRATION AREA, BY SEX AND 

AGE PERIODS: 1900. 





population: 1900. 


deaths: 1900. 


death bate: 1900. 


AGE PERIOD. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Ratio of 
male death 

rate to fe- 
male death 

rate=100. 


The registration area: 

Under 1 year 


617, 918 
2, 945, 368 
.5,471,791 
5, 445, 689 
6,243,793 
4,046,663 
4,309,590 
1,267,355 


311, 672 
1,481,843 
2,734,692 
2,601,992 
2,641,381 
2,108,518 
2, 174, 131 

697,890 


306,246 

1, 463, 525 

2, 737, 099 
2, 843, 597 
2, 602, 412 
1,937,345 
2, 135, 4.59 

669, 465 


102,220 
153,571 
23, 630 
34,780 
47,121 
46, 619 
95, 303 
109, 781 


57,251 
84, 028 
12,046 
17,489 
24, 977 
26,190 
52, 483 
54,479 


44,969 
69, 543 
11,584 
17,291 
22, 144 
20,509 
42, 820 
55,302 


165.4 
62.1 
4.3 
6.4 
9.0 
11.5 
22.1 
86.6 


183.7 

56.7 

4.4 

6.7 

9.5 

12.4 

24.1 

9L1 


146.8 
47.6 
4.2 
6.1 
8.6 
10.5 
20.1 
82.6 


126 
119 
105 
110 
112 
118 
120 
110 


Under 5 years 


5 to 14 years 


15 to 24 years 


25 to 34 years : 


35 to 44 years 


45 to 64 years 


65 years and over 





29 



Table xxv shows that for each age period for which 
the Bureau of the Census has returns, the death rate 
for males is decidedly higher than that for females. 
The last column of the table shows, however, that this 
difference is least at the ages of 5 to 14, greatest during 
the first year of life, and increases with the remoteness 
of the age period in either direction from the minimum 
at 5 to 14. 

The census figures do not allow any classification by 
sex and smaller age groups, but those for Massachu- 

TABLE XXVI.— DEATH KATE PER 1,000,000 FOR MALES AND FEMALES CLASSIFIED BY SINGLE YEARS OF AGE 
IN MASSACHUSETTS, ENGLAND AND WALES, PRUSSIA, AND NORWAY, BASED ON THE MORTALITY AT THE 
DATES SPECIFIED. 



setts'and for certain foreign countries have been made 
the basis for the construction of life tables showing 
the death rate by sex for each year of age. 

T3"pical results of these compilations appear in the 
following table, showing the death rate for males and 
females at each year of age, taken from a recent life 
table of Massachusetts prepared by the secretarj^ of the 
state board of health, from the last English life table, 
from a Norwegian, and from a Prussia'n life table: 



YEAR OF 
AGE. 



year . . 

1 year-. 

2 years . 

3 years . 

4 years , 

5 years . 

6 years . 

7 years . 

8 years . 

9 years . 

10 years 

11 years 

12 years 

13 years 

14 years 

15 years 

16 years 

17 years 

18 years 

19 years 

20 years 

21 years 

22 years 

23 years 

24 years 

25 years 

26 years 

27 years 

28 years 

29 years 

30 years 

31 years 

32 years 

33 years 

34 years 

35 years 

36 years 

37 years 

38 years 

39 years 

40 years 

41 years 

42 years 

43 years 

44 years 

45 years 

46 years 

47 years 

48 years 

49 years 

60 years 

61 years 

62 years 

63 years 



Massachusetts: 
1893 to 1897. 



Males. 



Fe- 
males. 



17, 233 

4,221 

2,009 

1,401 

1,078 

812 

653 

535 

446 

385 

325 

292 

277 

296 

361 

427 

4S8 

529 

575 

619 

065 

708 

749 

789 

821 

847 

869 

888 

908 

928 

946 

961 

973 

983 

99G 

1,012 

1,032 

1,052 

1,073 

1,095 

1,117 

1,143 

1,173 

1,208 

1,247 

1,294 

1,350 

1,419 

1, .502 

1,596 

1,693 

1,792 

1,891 

2,003 



14, 699 

4,005 

1,915 

1,392 

999 

834 

661 

548 

456 

395 

348 

306 

307 

335 

399 

472 

538 

571 

608 

645 

081 

714 

730 

753 

770 

788 

809 

828 

846 

866 

886 

906 

923 

945 

957 

979 

995 

1,018 

1,038 

1,059 

1,077 

1,103 

1,122 

1, 145 

1,169 

1,193 

1,247 

1,292 

1,357 

1,421 

1,502 

1,583 

1,660 

1,744 



England and 

Wales: 1881 

to 1890. 


Prussia: 1867, 
1868, 1872, and 
1875 to 1877. 


Norway: 1881- 
82 to 1891-92. 


Males. 


Fe- 
males. 


Males. 


Fe- 
males. 


Males. 


Fe- 
males. 


16,104 


13,113 


22, 846 


19,885 


10,492 


8,974 


5,730 


5,271 


7,599 


7,227 


3,697 


3,483 


2,383 


2,300 


3,952 


3,860 


2,197 


2,145 


1,539 


1,513 


2,633 


2,564 


1,644 


1,093 


1,141 


1, 102 


1,849 


1,871 


1,362 


1,327 


832 


786 


1,423 


1,412 


1,077 


1,090 


600 


652 


1,160 


1,163 


869 


891 


432 


385 


942 


929 


704 


749 


316 


273 


746 


773 


611 


641 


239 


204 


615 


624 


515 


668 


195 


167 


531 


534 


471 


529 


177 


166 


461 


483 


464 


484 


181 


167 


419 


452 


441 


473 


203 


197 


393 


447 


450 


481 


240 


241 


400 


455 


453 


606 


287 


295 


428 


474 


605 


M3 


338 


351 


505 


514 


6.52 


527 


386 


401 


594 


537 


651 


546 


425 


441 


668 


669 


775 


560 


456 


469 


686 


587 


864 


564 


480 


489 


818 


632 


912 


694 


502 


506 


853 


662 


958 


624 


526 


524 


925 


706 


1,006 


635 


657 


650 


921 


763 


987 


640 


694 


683 


899 


812 


936 


680 


636 


621 


891 


844 


913 


710 


679 


658 


894 


871 


905 


709 


719 


694 


919 


902 


884 


753 


758 


728 


936 


968 


862 


773 


794 


760 


988 


976 


832 


757 


829 


789 


983 


1,033 


801 


775 


864 


818 


950 


1,001 


796 


791 


900 


845 


1,015 


1,050 


803 


840 


937 


872 


1,062 


1,092 


784 


853 


977 


898 


1,110 


1,122 


729 


830 


1,019 


924 


1,167 


1,165 


775 


877 


1,062 


950 


1,194 


1,187 


855 


883 


1,107 


975 


1,249 


1,226 


832 


872 


1,155 


1,000 


1,313 


1,2.59 


834 


887 


1,206 


1,026 


1,458 


1,314 


849 


883 


1,260 


1,053 


1,545 


1,358 


872 


886 


1,315 


1,082 


1,406 


1,217 


912 


918 


1,373 


1,114 


1,574 


1,325 


906 


900 


1,434 


1,149 


1,620 


1,303 


900 


889 


1,497 


1,189 


1,756 


1,360 


1,002 


940 


1,563 


1,235 


1,829 


1, 362 


1,001 


950 


1,634 


1,285 


1,765 


. 1,303 


978 


932 


1,710 


1,343 


1,896 


1,363 


1,045 


924 


1,793 


1,409 


2,026 


1,451 


1,127 


974 


1,880 


1,483 


2,223 


1,649 


1,172 


1,0.36 


1,978 


1,.565 


2,368 


1,776 


1,256 


1,083 


2,083 


1,655 


2,102 


1,602 


1,295 


1,138 


2,197 


1,7.52 


2,438 


1,855 


1,337 


1,186 


2,321 


1,856 


2,595 


1.998 


1,392 


1,183 



YEAR or 


Massachusetts: 
1893 to 1897. 


England and 

Wales: 1881 

to 1890. 


AGE. 












Males. 


Fe- 
males. 


Males. 


Fe- 
males. 


54 years 


2,117 


1,856 


2,455 


1,968 


65 years 


2,242 


1,969 


2,602 


2,090 


66 vears 


2,387 


2,085 


2,763 


2,223 


57 years 


2,650 


2,207 


2,940 


2,369 


58 vears 


2,720 


2,336 


3,138 


2,530 


59 years 


2, 925 


2,482 


3,355 


2,707 


60 years 


3, 122 


2,647 


3,592 


2,902 


61 years 


3,310 


2,795 


3,848 


3,116 


62 years 


3,494 


2,964 


4,121 


3,351 


63 vears 


3,715 


3,150 


4,412 


3,608 


64 years 


3,967 


3,351 


4,723 


3,890 


65 years 


4,239 


8,580 


5,057 


4,199 


66 years 


4,551 


3,847 


5,417 


4,637 


67 vears 


4,892 


4,152 


5,809 


4,906 


68 years 


5,280 


4,502 


6,235 


5,309 


69 years 


6,692 


4,892 


6.697 


5,748 


70 years .-..- 


6,130 


5,290 


7,200 


6,225 


71 years 


6,669 


5,698 


7,748 


6,744 


72 years 


7,048 


6,132 


8,344 


7,306 


73 years 


7,537 


6,565 


8,991 


7,915 


74 years 


8,045 


7,018 


9,694 


8,671 


75 years 


8,691 


7,492 


10, 458 


9,279 


76 years 


9,145 


7,980 


11, 284 


10,040 


77 years 


9,749 


8,500 


12, 178 


10, 856 


78 years 


10,409 


9,031 


13,143 


11,729 


79 years 


11,085 


9,592' 


14, 183 


12, 662 


80 vears 


11,850 


10, 166 


15, 301 


13,657 


81 years 


12,643 


10, 791 


16, 500 


14, 715 


82 years 


13,510 


11,418 


17, 783 


15,837 


83 vears 


14,456 


12, 085 


19, 152 


17, 025 


84 years 


16,444 


12,806 


20, 609 


17,280 


85 vears 


16,546 


13, 610 


22, 155 


19,602 


86 years 


17, 632 


14,477 


23,791 


20, 991 


87 years 


18, 797 


15, 434 


25, 618 


22, 449 


88 years 


20, 131 


16, 526 


27,334 


23,974 


89 years 


21, 593 


17,683 


29,238 


25, 665 


90 years 


23,037 


18, 972 


31, 228 


27, 222 


91 years 


24,626 


20, 393 


33, 301 


28,943 


92 years 


26,3.54 


22,011 


35,454 


30, 726 


93 years 


28, 431 


23, 601 


37, 681 


32,568 


94 vears 


30,137 


25, 478 


39, 976 


34, 467 


95 vears 


32,353 


27,564 


42, 334 


36,419 


96 vears 


34,783 


29,499 


44,747 


38, 420 


97 years 


36,667 


32,218 


47, 206 


40, 460 


98 years 


40, 351 


33, 951 


49. 703 


42,5.52 


99 years 


44,118 


37,383 


52, 227 


44, 674 


100 years 


47, 368 


40, 299 


54, 770 


46. 825 








67,319 


4.S, 999 


102 years 






69, 863 


.51, 192 


103 years . 






62, 392 


,53, 395 


104 vears 








65, 603 


105 vears 








57,808 










60,003 











Prussia: 1867, 

1868, 1872, and 

1875 to 1877. 



Males. 



2,785 
2,987 
3,039 
3,136 
3,431 
3,828 
4,332 
3,688 
4,356 
4,810 
6,241 
5,632 
5,913 
6,520 
7,093 
7,665 
8,248 
7,895 
9,224 
9,919 

10, 902 

11, 982 
12,635 
13,811 
16,567 
16, 583 
17,519 
15, 407 
18, 043 
20,443 
22, 386 
24, 107 
24, 709 
25, 672 
29, 985 
31, 719 
30, 377 
23, 007 
25, 393 
28,839 
27, 429 

29. 661 
,924 

24, 802 
26, 103 

29. 662 



Fe- 
males. 



2,161 
2,296 
2,377 
2,517 
2,796 
3,260 
3,669 
3,150 
3,784 
4,241 
4,734 
5,088 
5,228 
5,805 
6,514 
7,347 
7,980 
7,207 
8,829 
9,499 
10, 431 
11, 692 
12, 144 
12, 783 

15, 595 

16, 839 

17, 663 
14, 761 
17, 385 
20, 263 
22, 430 
23, 209 
21, 761 
23, 231 
26, 623 
28, 921 
31, 980 
21,437 
24, 828 
27, 573 
24,812 
27, 299 
20,281 
19, 666 
23,369 
21, 015 



Norway: 1881- 
82 to 1891-92. 



Males. 



1,549 

1,669 

1,681 

1,714 

1,847 

1,988 

2,135 

2, 275 

2,506 

2,773 

2,837 

3,133 

3,602 

3,674 

3,968 

4,211 

4,600 

6,033 

5,508 

6,173 

6,810 

7,319 

8,081 

8,724 

9,344 

10, 206 

11,361 

12, 175 

13,115 

14, 673 

16, 100 

17,716 

19,016 

20, 452 

21, 843 

22, 668 
24, 753 
24,647 
26, 179 
28,778 
30, 000 
33, 471 
32, 792 
33,333 
44, 628 
49, 206 
62, 158 
66, 287 
68, 604 
62, 120 
65, 847 

100, 000 



Fe- 
males. 



1,289 
1,403 
1,364 
1,399 
1,627 
1,647 
1,791 
1,907 
2.136 
2,434 
2, 537 
2,793 
3, 050 
3,185 
3,467 
3,685 
4,013 
4,270 
4,671 
5,226 
6.953 
6. .515 
6.923 
7,638 
8,368 
9,181 
10,338 
11,177 
11,939 
13, 3.53 

15, Oil 

16, 268 
17, 009 
18, 805 
20, 260 
20, 439 
22, 567 
23, 787 

26. 633 
27,290 

27, 2.50 
31, 676 
32, 358 
36,800 
44, 978 
42, 538 
45,090 
47, 795 
50, 663 
63, 703 
56, 925 
60, 341 

100, 000 



The preceding table suggests certain inferences: 

1. The differences between the death rates of males 
and females are much affected by age. 

2. The differences are not uniform in the different 
countries. 

3. Male children under three years of age have uni- 
formly a higher death rate than female children of cor- 
responding age. 

4. In England and Wales the male death rate is higher 
than the female except for the eight years, 14 to 21, 
inclusive. 

5. In Massachusetts the male death rate is higher than 



the female except for the seventeen years, 5 to 21, 
inclusive. 

6. In Prussia and Norway there are two main periods 
of life in which the females have a higher death rate; 
in Prussia these periods are S to 16 and 30 to 34; in 
Norway they are 5 to 15 and 32 to 41, inclusive. 

Y. In all four countries the death rate of women be- 
tween 20 and 30 years of age and so at the age when 
probably four-fifths of the children are born is almost 
uniformh^ below that of men of the same age. The 
perils of childlnrth, therefore, are not so great as to 
overcome the higher vitality of the female sex during 
those years. 



30 

T.iBLE 1.— TOTAL POPULATION, POPULATION LIVING IN CITIES OF AT LEAST 25,000 INHABITANTS, AND POPULA- 
TION LIVING IN SMALLER CITIES AND COUNTRY DISTRICTS, CLASSIFIED BY SEX, WITH PER CENT MALE 
AND FEMALE: 1900. 





population: 1900. 


STATE OR TERKITOKY. 


Total. 


In cities having at least 26,000 
inhabitants. 


In smaller cities and country 
districts. 


Total. 


In cities 
having at 
least 26,000 

inhabit- 
ants. 


In smaller 

cities and 

country 

districts. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Per 
cent 
male 


Per 
cent 

fe- 
male. 


Per 
cent 
male 


Per 
cent 
fe- 
male. 


Per 
cent 
male 


Per 
cent 

fe- 
male. 


United States 


76,303,387 


39,069,242 


37,244,145 


19,757,618 


9,835,644 


9, 921, 974 


66,546,769 


29,223,598 


27,322,171 


51.2 


48.8 


49.8 


60.2 


51.7 


48.3 


Continental U. S 


75,994,575 


38,816,448 


37,178,127 


19,718,312 


9,810,898 


9, 907, 414 


56,276,263 


29,005,550 


27,270,713 


51.1 


48.9 


49.8 


50.2 


51.5 


48.5 


North Atlantic division. 


21,046,695 


10,624,877 


10,521,818 


10,098,696 


4,983,332 


5, 115, 364 


10, 947, 999 


6, 541, 545 


5,406,454 


50.0 


50.0 


49.3 


60.7 


60.6 


49.4 




5,592,017 


2,763,796 


2,828,221 


2,318,058 


1,129,017 


1,189,041 


3,273,969 


1, 634, 779 


1,639,180 


49.4 


50.6 


48.7 


51.3 


49.9 


50.1 






694,466 
4U,588 
343,641 
2.805,346 
428,556 
908,420 

15, 464, 678 


350,995 
205,379 
175, 138 
1,367,474 
210,516 
454,294 

7,761,081 


343,471 
206, 209 
168,503 
1,437,872 
218, MO 
454, 126 

7,693,697 


60,145 
66,987 


23,714 
26,603 


26, 431 
30,384 


644,321 
354, 601 
343.641 
1,168,182 
185, 624 
577, 690 

7,674,040 


327,281 
178,776 
175,138 
572, 744 
92, 878 
287,962 

3, 906, 766 


317,040 
175, 825 
168,603 
696, 438 
92,646 
289, 728 

3,767,274 


50.5 
49.9 
61.0 
48.8 
49.1 
60.0 

50.2 


49.5 
50.1 
49.0 
61.2 
50.9 
50.0 

49.8 


47.3 
46.7 


52.7 
53.3 


50.8 
50.4 
51.0 
49.0 
50.1 
49.9 

50.9 


49.2 
49.6 
49.0 
51.0 
49.9 
60.1 

49.1 


New Hampshire 


Massachusetts 

Rhode Island 


1,637,164 
243, 032 
330, 730 

7,780,638 


794, 730 
117, 638 
166, 332 

3,854,315 


842,434 
126,394 
164, 398 

3,926,323 


48.6 
48.4 
60.3 

49.5 


51.5 
51.6 
49.7 

50.6 


Southern North At- 
lantic 




New York 


7,268,894 
1,883,669 
6,302,115 

10,443,480 


3, 614, 780 

941, 760 

3,204,541 

5,222,595 


3,654,114 

941, 909 

3,097,574 

5,220,885 


4,457,033 

906, 747 

2,416,858 

1,302,528 


2,202,428 

451,702 

1, 200, 185 

620,154 


2,264,605 

456, 045 

1,216,673 

682,374 


2,811,861 

976, 922 

3,885,267 

9, 140, 962 


1, 412, 352 

490,058 

2, 004, 356 

4,602,441 


1,399,509 

486,864 

1,880,901 

4,638,611 


49.7 
60.0 
60.9 

50.0 


50.3 
50.0 
49.1 

50.0 


49.4 
49.8 
49.7 

47.6 


60.6 
50.2 
50.3 

52.4 


50.2 
60.2 
61.6 

50.3 


49.8 
49.8 
48.4 

49.7 




Pennsylvania 

South Atlantic division . 


Northern South At- 
lantic 


4,464,481 


2,240,676 


2,223,905 


1,034,736 


495,318 


539,417 


3,429,746 


1,745,268 


1,684,488 


50.2 


49.8 


47.9 


52.1 


50.9 


49.1 




Delaware . 


184, 735 
1,188,044 

278, 718 
1,854,184 

958,800 

5,978,999 


94, 158 
589,275 
132,004 
926, 897 
499,242 

2, 982, 019 


90,577 
598, 769 
146, 714 
928, 287 
459,558 

2, 996, 980 


76, 508 
508,957 
278, 718 
131, 674 

38,878 

267, 793 


38,383 

243, 280 

132, 004 

62,640 

19, Oil 

124,836 


38,125 
265, 677 
146,714 
69,034 
19,867 

142, 957 


108,227 
679, 087 


55,775 
346,996 


62,452 
333, 092 


51.0 
49.6 
47.4 
49.9 
52.1 

49.9 


49.0 
50.4 
52.6 
60,1 
47.9 

50.1 


60.2 
47.8 
47.4 
47.6 
48.9 

46.6 


49.8 
52.2 
52.6 
52.4 
61.1 

63.4 


51.6 
61.0 


48.5 
49.0 


Marvland 


District of Columbia. 


Virginia 


1, 722, 610 
919,922 

6, 711, 206 


863,257 
480,231 

2,867,183 


859,253 
439, 691 

2,854,023 


60.1 
52.2 

50.0 


49.9 
47.8 

50.0 


West Virginia 

Southern South At- 
lantic 




North Carolina 


1,893,810 

1,340,316 

2,216,331 

528, .542 

26,333,004 


938, 677 

664, 895 

1,103,201 

275.246 

13,589,322 


955, 133 

675, 421 

1, 113, 130 

253,296 

12,743,682 








1,893,810 

1,284,609 

2,032,774 

500,113 

20,235,120 


938,677 

639,303 

1,017,674 

261,529 

10,515,716 


965,133 

646, 206 

1,016,100 

238, 684 

9,719,404 


49.6 
49.6 
49.8 
52.1 

51.6 


50.4 
50.4 
50.2 
47.9 

48.4 






49.6 
49.8 
50.1 
52.3 

52.0 




South Carolina 


55,807 
183,657 
28, 429 

6,097,884 


25, 592 
85,527 
13, 717 

3, 073, 606 


30,215 
98,030 
14, 712 

3,024,278 


45.9 
46.6 
48.2 

50.4 


54.1 
63.4 
61.8 

49.6 


50.2 
49.9 

47.7 

48.0 


Florida 


North Central division . 


Eastern North Central . 


15,985,581 


8,177,308 


7,808,273 


4, 339, 130 


2, 171, 978 


2, 167, 162 


11,646,451 


6,006,330 


5, 641, 121 


51.1 


48.9 


50.1 


49.9 


51,6 


48.4 


Ohio . . . 


4, 157, 645 
2,516,462 
4, 821, 650 
2,420,982 
2, 069, 042 

10, 347, 423 


2, 102, 655 
1,285,404 
2,472,782 
1,248,905 
1,067,562 

5, 412, 014 


2,054,890 
1,231,058 
2, 348, 768 
1,172,077 
1,001,480 

4, 935, 409 


1, 206, 918 
345, 958 

1, 915, 145 
468,422 
402, 687 

1,768,764 


600, 168 
170, 483 
972, 733 
228, 148 
200,446 

901, 628 


606, 750 
175, 475 
942, 412 
240, 274 
202, 241 

857, 126 


2, 950, 627 
2,170,504 
2,906,405 
1, 952, 560 
1,666,355 

8, 588, 669 


1,502,487 
1, 114, 921 
1,600,049 
1,020,767 
867, 116 

4,510,386 


1, 448, 140 

1, 056, 683 

1,406,356 

931,803 

799,239 

4,078 283 


50.6 
51.1 
51.3 
51.6 
61.6 

62.3 


49.4 
48.9 
48.7 
48.4 
48.4 

47.7 


49.7 
49.3 
50.8 
48.7 
49.8 

51.3 


50.3 
60.7 
49.2 
61.3 
50.2 

48.7 


50.9 
51.4 
51.6 
52.3 
52.0 

62.5 


49.1 
48.6 
48.4 
47.7 
48.0 

47.5 


Indiana 


Illinois . 


Michigan 




Western North Central. 


Minnesota 


1, 751, 394 
2,231,863 
3, 106, 665 
319, 146 
401,570 
1, 066, 300 
1,470,495 

14,080,047 


932, 490 
1,156.849 
1,595,710 
177,493 
216, 164 
664,592 
768,715 

7,181,922 


818, 904 
1,075,004 
1, 510, 955 
141, 653 
185, 406 
601, 708 
701,779 

6,898,125 


418, 752 
218,259 
867, 992 


217,411 
109, 323 
441, 380 


201,341 
108,936 
426, 612 


1,332,642 

2,013,594 

2, 238, 673 

319, 146 

401,570 

897, 675 

1,385,469 

12,894,022 


715, 079 
1,047,626 
1,154,330 
177,493 
216, 164 
473, 902 
725, 892 

6,605,179 


017, 663 
966, 068 
1,084,343 
141, 663 
185, 406 
423, 673 
659,577 

6,288,843 






51.9 
50.1 
50.9 


48.1 
49.9 
49.1 


53.7 
52.0 
51.6 
55.6 
53.8 
52.8 
52.4 

51.2 


46.3 
48.0 
48.4 






Missouri 


61.4 
55.6 
53.8 
63.0 
62.3 

51.0 


48.6 
44.4 
46.2 
47.0 
47.7 

49.0 


North Dakota 


South Dakota 












46 2 




168,725 
85, 026 

1,186,025 


90, 690 
42,824 

676,743 


78,035 
42,202 

609,282 


63.8 
50.4 

48.6 


46.2 
49.6 

51.4 


47.2 
47.6 

48.8 


Kansas 


South Central division . 


Eastern South Central. 


7,547,757 


3, 809, 666 


3,738,091 


655,545 


319,067 


336,478 


6, 892, 212 


3, 490, 599 


3, 401, 613 


50.5 


49.6 


48.7 


51.3 


50.7 


49.3 




2, 147, 174 
2, 020, 616 
1,828,697 
1,651,270 

6,532,290 


1,090,227 

1,021,224 

916, 764 

781,461 

3, 372. 256 


1, 056, 947 
999,392 
911, 933 
769,819 

3,160,034 


302, 339 
245,976 
107, 230 


145,957 
121, 653 
51,557 


156, 382 
124,423 
55, 673 


1,844,835 
1. 774, 640 
1,721,467 
1,551,270 

6,001,810 


944, 270 
899,671 
865, 207 
781,451 

3,114,680 


900, 666 
874, 969 
856,260 
769, 819 

2,887,230 


50.8 
50.5 
50.1 
60.4 

51.6 


49.2 
49.6 
49.9 
49.6 

48.4 


48.3 
49.4 
48.1 


51.7 
50.6 
51.9 


51.2 
50.7 
50.3 
50.4 

51.9 


48. S 
49.3 
49.7 
49 6 


Tennessee 


Mississippi 


Western South Central. 


630, 480 


257,676 


272,804 


48.6 


61.4 


48.1 




1,381,625 

1,311,664 

392,060 

398, 331 

3,048,710 


694, 733 
675, 312 
208, 962 
214,3.59 
1,578,900 


686,892 
636, 252 
183,108 
183, 972 


287, 104 
38,307 


136,068 


151,036 


1,094,521 

1,273,257 

392, 060 

398,331 

2,843,641 


558,665 
656, 041 
208, 962 
214, 359 
1,476,563 


535,856 
617, 216 
183,108 
183, 972 
1,367,078 


50.3 
51.6 
53.3 
53.8 
61.8 


49.7 
48.5 
46.7 
46.2 
48.2 


47.4 
50.3 


52.6 
49.7 


51,0 
61.5 
53.3 
53 8 


49.0 
48.5 




Indian Territory 




Oklahoma 










dR O 


Texas 


1,469,810 


205, 069 


102,337 


102,7.32 i 


49.9 


50.1' 


51.9 48! i 



31 

Table 1.— TOTAL POPULATION, POPULATION LIVING IN CITIES OF AT LEAST 25,000 INHABITANTS, AND POPULA- 
TION LIVING IN SMALLER CITIES AND COUNTRY DISTRICTS, CLASSIFIED BY SEX, WITH PER CENT MALE 
AND FEMALE: 1900— Continued. 





population: 1900. 


STATE OR TERRITORY. 


Total. 


In cities having at least 25,000 
inhabitants. 


In smaller cities and country 
districts. 


t 
Total. 


In cities 
having at 
least 25,000 

inhabit- 
ants. 


In smaller 
cities and 
country 
districts. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Per 
cent 
male. 


Per 
cent 
fe- 
male. 


Per 
cent 
male. 


Per 

cent 
fe- 
male. 


Per 
cent 
male. 


Per 

cent 
fe- 
male. 


Western division 


4, 091, 349 


2,297,732 


1,793,617 


1,033,179 


557,063 


476, 116 


3,058,170 


1,740,669 


1,317,501 


56.2 


43.8 


53.9 


46.1 


56.9 


43.1 


Kocky Mountain 


1, 232, 642 


700,953 


631, 689 


192,486 


100,113 


92,373 


1, 040, 156 


600,840 


439,316 


56.9 


43.1 


52.0 


48.0 


57.8 


42.2 




243,329 
161, 772 
92,531 
539,700 
195, 310 

442,015 


149, 842 
93,367 
.58, 184 
295,332 
104,228 

239,085 


93,487 
68,405 
34,347 
244,368 
91,082 

202,930 


30,470 


18,171 


12,299 


212, 859 
161, 772 
92, 531 
377, 684 
195, 310 

388,484 


131,671 

93,367 

58,184 

213,390 

104, 228 

213,236 


81,188 
68,405 
34, 347 
164, 294 
91, 082 

175,248 


61.6 
57.7 
62.9 
54.7 
53.4 

54.1 


38.4 
42.3 
37.1 
45.3 
46.6 

45.9 


59.6 


40.4 


61.9 
57.7 
62.9 
56.5 
53.4 

54.9 


38.1 




42.3 














37.1 


Colorado 


162,016 


81,942 


80, 074 


50.6 


49.4 


43.5 




46.6 


Basin and Plateau 


53, 531 


25,849 


27,682 


48.3 


51.7 


45.1 




122,931 
276, 749 
42,335 

2,416,692 


71,795 
141,687 
25, 603 

1,357,694 


51, 136 

135,062 

16 732 








122, 931 
223,218 
42, 335 

1,629,530 


71,795 
116,838 
25,603 

926,593 


51, 136 
107, 380 
16, 732 

702,937 


58.4 
51.2 
60.5 

56.2 


41.6 
48.8 
39.5 

43.8 






58.4 
51.1 
60.5 

56.9 


41.6 


Utah 


53, 531 


25,849 


27,682 


48.3 


51.7 


48.1 




39.5 


Pacific 


1,058,998 


787.162 


431,101 


356,061 


54.8 


4.5.2 


43.1 




, , 1 , 








518, 103 

413,536 

1,485,053 

63,592 

154,001 

91,219 


304, 178 
232, 985 
820, 531 

45,872 
106,369 
90,553 


213,925 
ISO, 551 
664,522 

17,720 

47, 632 

666 


155,233 

90,426 

541,503 


93, 920 
53,128 
284, 053 


61,313 

37,298 

257,450 


362,870 

323, 110 

■ 943,550 

63,592 
114, 695 


210,258 
179, 857 
536,478 

45,872 
81,623 


152,612 
143,253 
407, 072 

17, 720 
33,072 


58.7 
56.3 
55.2 

72.1 
69.1 
99.3 


41.3 
43.7 
44.8 

27.9 

30.9 

0.7 


60.5 
58.8 
52.5 


39.5 
41.2 
47.5 


57.9 
55.7 
56.9 

72.1 
71.2 


42.1 


Oregon 


44.3 




43.1 




27.9 


Hawaii 


39, 306 


24, 746 


14, 560 


63.0 


37.0 


28.8 


Military and naval 

























T.iBLE 3.— POPULATION OF CITIES HAVING AT LEAST 25,000 INHABITANTS, CLASSIFIED BY SEX, WITH PEE CENT 

MALE AND FEMALE: 1900. 



ALAE.\MA. 

Birmingham 38, 415 

MobUe 38,469 

Montgom ery 30, 346 

ARKANSAS. 

Little Rocli 38, 307 

CALIFORNIA. 

Los Angeles 102,479 

Oakland 66,960 

Sacramento 29,282 

San Francisco 342,782 

COLORADO. 

Denver 133, 859 

Pueblo 28,157 

CONNECTICUT. 

Bridgeport 70, 996 

Hartford 79,850 

New Britain 25, 

New Haven 108,02^ 

Waterbury 45,859 

DELAWARE. 

Wilmington 76,508 

DISTRICT OF COLUMBIA 

Washington , 278, 718 

FLORIDA. 

Jacksonville 28,429 

GEORGIA. 

Atlanta I 89, 872 

Augusta 39, 441 

Savannah I .54,244 



population: 1900. 



Male. 



Female, 



19, 626 
17, 973 
13, 958 



50, 519 
32,921 
15, 747 
184,866 



66, .592 
15, 350 



35, 381 
40, 695 
13,333 
53,842 
23, 081 



38,383 

132, 004 
13,717 



41, 377 
18,226 
2.5,925 



18, 789 
20, 496 
16,388 



19, 036 



51,960 

34, 039 

13, 535 

157, 916 



67,267 
12,807 



35, 615 
39, 1.55 
12,665 
.54, 185 
22, 778 



48,495 
21,216 
28,319 



Per cent 
male. 



51.1 
46.7 
46.0 



50. 



49.3 
49.2 
53.8 
53.9 



49.8 
54.5 



49.8 
51.0 
51.3 
49.8 
50.3 



46.0 
46.2 

47.8 



Per cent 
female. 



48.9 
.53.3 
54.0 



50.7 
.50.8 
46.2 
46.1 



50.2 
4.5.5 



.50. 2 
19.0 
48.7 
50.2 
49.7 



.54.0 
.53. 8 
52.2 



HAWAII. 

Honolulu 

ILLINOIS. 

Chicago 

East St. Louis . . . 

Joliet 

Peoria 

Quincy 

Eoekford 

Springfield 

INDIANA. 

Evansville 

Fort Wayne 

Indianapolis 

South Bend 

Terre Haute 

IOWA. 

Cedar Rapids . . . 
Council Bluffs . . 

Davenport 

Des Moines 

Dubuque 

Sioux City 

KANSAS. 

Kansas Citv 

Topeka 

KENTUCKY. 

Covington 

Lexington 

L<ouisvillc 

Newport 

LOUISIANA. 

New OrU'ans 



POPULATION: 1900. 



Total. 



39, 306 



1,698,575 
29,655 
29, 353 
56, 100 
36,252 
31,051 
34, 159 



59,007 
45, 115 
169, 164 
35,999 
36, 673 



25, 656 
25,802 
35,254 
62, 139 
36,297 
33,111 



51,418 
33, COS 



42, 938 

26, 369 

201,731 

28,301 



287, 104 



Male. 



863, 408 
16, 045 
15, 300 
28,724 
17, 505 
15, 169 
16, 582 



28, 787 
21,904 
83,523 
18,467 
17, 802 



12, 579 
13,180 
17,489 
30, 963 
18. 171 
16, 951 



26, 690 
16,134 



20, 513 
12, 328 
99,631 
13,685 



136,068 



Female. 



S35, 167 
13,610 
14,053 
27, 376 
18, 747 
15,8.82 
17, 577 



30, 220 
23,211 
85,641 
17, 532 
18,871 



13,077 
12,622 
17,765 
31, 186 
18, 126 
16, 160 



24,728 
17, 474 



22, 425 

14,041 

105, 200 

14,716 



Per cent 
male. 



50.8 
54.1 
52.1 
51.2 
48.3 
48.9 
48.5 



48.8 
48.6 
49.4 
61.3 
48.5 



49.0 
5L1 
49.0 
49.8 
50.1 
51.2 



51.9 
48.0 



47.8 
46.8 
48.6 
48.0 



Per cent 
female. 



49.2 
45.9 
47.9 
48.8 
.51.7 
51.1 
51.5 



51.2 
51.4 
50.6 
4S.7 
51.6 



.51.0 
48.9 
60.4 
50.2 
49.9 
48.8 



4vS.l 
62.0 



62. 2 
.53.2 
51.4 
52.0 



52.6 



32 

Table 3.— POPULATION OF CITIES HAVING AT LEAST 25,000 INHABITANTS, CLASSIFIED BY SEX, WITH PER CENT 

MALE AND FEMALE: 1900— Continued. 





popdlation: 1900. 


CITY. 


POPULATION: 1900. 


CITY. 


Total. 


Male. 


Female. 


Per cent 
male. 


Per cent 
female. 


Total. 


Male. 


Female. 


Per cent 
male. 


Per cent 
female. 


MAINE. 


50, 145 
508,957 

560,892 
40, 063 
91,886 
34,072 

104,863 
31,531 
26,121 
37,175 
45, 712 
62, 559 
94,969 
68,613 

33. 664 
62, 442 
33, 687 
35,956 
61,643 
62,059 
31,036 

118,421 

27,628 
286,704 

87. 665 
25,180 
42, 345 

52,969 
202, 718 
163, 065 

26,023 
163,752 
102, 979 
576,238 

30, 470 

40, 169 
102,655 
26, 001 

56, 987 

27,838 
32,722 
75,935 
62,130 
69,364 
206,433 
246, 070 
27,777 
106, 171 
73,307 

94, 161 
30,346 
39, 647 

352,387 

35, 672 

3,437,202 

162, 608 
31,682 

108, 374 
60. 651 
56,383 
47, 931 


23,714 

243,280 

274,922 
19,933 
44, 477 

16, 758 
60,260 
15, 557 
13,942 

17, 693 
21,744 
30, 263 
44,949 
33, 300 
15,699 
29, 706 
16,034 
17,044 
29,434 
29, 616 
16,317 
59, 082 

13,646 
139, 242 
42,470 
12,402 
20,488 

29, 884 
103, 122 
84, 406 

13, 773 

82, 729 

66,681 

288, 197 

18, 171 

20, 726 
.54,093 
16, 871 

26,603 

13,844 
16,930 
37,154 
26,469 
30, 009 
104, 027 
121,027 
13,320 
51,889 
37,043 

45,031 
15, 115 
18,566 
174, 931 
17,891 
1, 705, 705 
77, .520 
17, 053 
52,638 
28, 015 
26,876 
23,188 


26,431 

266,677 

285,970 
20, 130 
47,409 
17,314 
54,603 

15, 974 
12, 179 
19,482 
23,968 
32,296 
50, 020 
36,213 
17,965 
32, 736 

18, .553 
18,912 
32, 209 
32, 443 
15, 719 
59,339 

14, 082 
146,462 
45, 095 
12, 778 
21,857 

23,085 
99, 596 
78,660 

12,250 
81,023 
46, 298 
287,041 

12,299 

19, 443 
48,462 
10, 130 

30,384 

13,994 

16, 792 
38,781 
26,671 
29,366 

102, 406 

125,043 

14, 457 

53,282 

36, 2C4 

49, 120 
15, 230 
21,081 
177, 456 
17, 781 
1,731,497 
85, 088 
14,629 
55, 836 
32.636 
29, 508 
24, 7J3 


47.3 

47.8 

49.0 
49.8 
48.4 
49.2 
47.9 
49.3 
63.4 
47.6 
47.6 
48.4 
47.8 
48.6 
46.6 
47.6 
44.8 
47.4 
47.8 
47.7 
49.3 
49.9 

49.0 

48.7 
48.5 
49.2 
4S.4 

56.4 
60.9 
61.8 

62.9 
60.5 
65.0 
60.1 

59.6 

51.6 
52.8 
61.0 

46.7 

49.7 
61.7 
48.9 
60.8 
60.6 
50.4 
49.2 
48.0 
40.3 
50.6 

47.8 
49.8 
46.8 
49.6 
.50.1 
49.6 
47.7 
63.8 
48.6 
46.2 
47.7 
48.4 


52.7 

52.2 

51.0 
50.2 
61.6 
50.8 
52.1 
60.7 
46.6 
52.4 
62.4 
51.6 
52.7 
61.4 
63.4 
52.4 
55.2 
52.6 
52.2 
52.3 
50.7 
50.1 

51.0 
51.3 
51.6 
50.8 
61.6 

43.6 
49.1 

48.2 

47.1 
49.6 
46.0 
49.9 

40.4 

48.4 
47.2 
39.0 

63.3 

50.3 
48.3 
61.1 
49.2 
49.4 
49.6 
60.8 
52.0 
60.7 
49.5 

52.2 
60.2 
53.2 
50.4 
49.9 
50.4 
52.3 
46.2 
51.5 
63.8 
52.3 
51. S 


OHIO. 

Akron 


42,728 
30, 667 
325,902 
381,768 
125,560 
85, 333 
38,253 
131, 822 
44,885 

90,426 

129,896 
35,416 
38,973 
33, 988 
26,238 
62,733 
60, 167 
36,936 
41, 469 
34,227 
28,339 
1, 293, 697 

321, 616 
78, 961 

102, 026 
51,721 
28,757 
33, 708 

39,231 

175,597 

28,204 

55,807 

30, 154 

32,637 

102,320 

80,865 

42,638 
26, 688 
37,789 
44, 633 
53,321 

63, 631 

45, 624 
85,050 

80, 671 
36,848 
37, 714 

38, 878 

28, 895 
285,315 
28, 284 
29, 102 
31,091 


21,383 
16, 094 
157,140 
192, 616 
63,301 
42, 142 
19,306 
65,604 
23,582 

63,128 

66, 667 
17,226 
19,245 
16,959 
12,386 
26,534 
24, 326 
19,221 
19,440 
17,963 
14, 778 
634, 485 
165, 646 

39. 128 
51,216 
25,200 
13, 386 
16,380 

18,938 
86,072 
13, 628 

25, 692 

16, 142 
16,771 
.52, 284 
38,356 

21,215 
13,626 
18, 681 
22,686 

26. 129 

25, 849 

22, 704 
39,936 

51. 521 
21,167 
21, 232 

19,011 

13, 959 
140, 636 
13,543 
14,780 
17,628 
1 


21,345 
15,573 
168,762 
189, 162 
62,259 
43,191 
18,947 
66,218 
21, 303 

37,298 

63,229 
18, 190 
19,728 
17,029 
12,852 
26, 199 
25, 842 
16,715 
22,019 
16,264 
13,561 
659, 212 
156, 970 
39,833 
50, 810 
26,521 
15,371 
17,328 

20, 293 
90,526 
14, 576 

30, 216 

16,012 
16,866 
60, 036 
42,509 

21,423 
13,062 
19,108 
21,947 
27,192 

27,682 

23,920 
45, 114 

29, 150 
15,681 
16, 482 

19,867 

14,936 
144,779 
14, 741 
14,322 
13,463 


50.0 
49.2 
48.2 
60.4 
60.4 
49.4 
60.6 
49.8 
62.5 

58.8 

61.3 
48.6 
49.4 
49.9 
49.1 
60.3 
48.5 
53.5 
46.9 
62.5 
62.1 
49.0 
61.5 
49.6 
50.2 
48.7 
46.6 
48.6 

48.3 
48.4 
48.3 

45.9 

50.2 
48.3 
51.1 
47.4 

49.8 
51.1 
49.4 
50.8 
49.0 

48.3 

48.7 
47.0 

63.9 
57.4 
56.3 

48.9 

48.3 
49.3 
47.9 
50.8 
56.7 


60.0 




Canton 


50.8 




Cincinnati 


61.8 




Cleveland 


49.6 


Baltimore 










50.6 


MASSACHUSETTS. 


Springfield 


49.6 




Toledo 


50. i 




Youngstown 


47.5 




OREGON. 

Portland 








Fall River . ... 






41.2 




PENNSYLVANIA. 

Allegheny 




Haverhill 










48.7 






51.4 




Altoona 


50.6 




Chester 


60.1 




Eastou 


50.9 




Erie 


49.7 


Salem . -• 


Harrisburg 


51.5 


Johnstown 


46.5 






53.1 




McKeesport 


47. B 




Newcastle 


47.9 






51.0 




Pittsburg . . 


48.5 






50.4 


Bay City 




49.8 
51.3 


Detroit 




Grand Rapids 




Jackson 


York 


51.4 




RHODE ISLAND. 

Pawtucket 


MINNESOTA. 

Dnlnth 


61.7 






51.6 


St Paul 


Woonsocket 


61.7 


MISSOURI. 


SOUTH CAROLINA. 






64.1 


St Joseph . 


TENNESSEE. 










49.8 




Knoxville 


61.7 


Butte 








Nashville 


52.6 


NEBRASKA. 

Lincoln 


TEXAS. 




Omaha 


50 2 




Fort Worth 


48.9 








60.6 


NEW HAMPSHIRE. 


Houston 


49.2 




San Antonio 


51.0 


NEW JERSEY. 

Atlantic City 


UTAH. 

Salt Lake City 

VIRGINIA. 

Norfolk 


51.7 




Camden 








Hoboken 


6L3 








53.0 




Newark ^. . . 


WASHINGTON. 








Paterson 




Trenton 


36 1 




Spokane 


42.6 


NEW YORK. 


Tacoma 


43.7 


Albany 


WEST VIRGINIA. 

Wheeling 




Auburn 










61.1 




WISCONSIN. 

La Crosse 




New York . . . 










51.7 






60.7 


Trov 


Oshkosh 


62.1 


tJtica 




49.2 




Superior 


43.3 









34 

Table 3.— CLASSIFICATION, BY SEX, OF THE POPULATION LIVING IN CITIES 




35 



WITHIN SPECIFIED LIMITS OF SIZE AND IN COUNTRY DISTRICTS: 1900. 



J population: 1900— continued. 




In cities having— ' 


In country districts. 




25,000 to 100,000 inhabitants. 


8,000 to 25,000 inhabitants. 


4,000 to 8,000 inhabitants. 


2,500 to 4,000 inhabitants, i 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 1 Male. 


Female, i Total. Male. 


Female. 




5,509,965 


2,742,328 


2,767,637 


5,273,887 


2,600,877 


2, 673, 010 


3, 380, 193 


1,671,565 


1,708,638 


2,211,019 1,107,396 1,103,623 45,411,164 23,625,722 21,785,442 

i 


1 


2,565,416 


1,254,503 


1, 310, 913 


2,226,013 


1, 085, .504 


1,140,509 


1,289,027 


636,625 


652,402 


738,911 I 369,622 


369,289 6,694,048 3,449,794 


3,244,254 


2 
3 


1,250,258 


605,839 


644,419 


1,007,671 


488,243 


519,428 


61.5,997 


301,879 


314,118 


335,038 i 169,612 


165,426 


1,315,253 

390,562 
185,319 
251, 866 
238,248 
21,316 
227,942 

5,378,795 

1, 970, 783 

554, 507 

2, 853, 505 

8, 210, 848 


675, 045 


640, 208 


.50, 145 
66, 987 


23,714 
26,603 


26,431 
30,384 


114, 494 
101,933 
38,587 
495, 459 
104,860 
152, 338 

1, 218, 342 


54,643 
49, 700 
18, 784 
238, 656 
52,265 
74, 195 

597,261 


59,861 
52,233 
19, 803 
256,803 
52, 595 
78, 143 

621,081 


87,04fi 
33, 320 
33, 461 

305, 371 
44,617 

112,182 

673,030 


43,014 
16,000 
16,052 
149, 611 
21,980 
66,222 

334, 746 


44,032 
17, 320 
17,409 
155, 760 
22,637 
56,960 

338,284 


52,219 
34,029 
19,727 
129, 104 
14, 731 
85,228 

403,873 

121,697 

56,903 

225,273 

183,112 

1 


27, 782 
17,233 
10, 202 
64,163 
'7,390 
42,842 

200,010 


24,437 
16, 796 

9,525 
64,941 

7,341 
42,386 

203, 863 


201,842 
95,843 

130, 100 

120,314 
11,243 

115,703 

2,774,749 


188,720 
89,476 

121,766 

117,934 
10,073 

112,239 

2,604,046 


4 
6 


852, 988 

67,435 

222, 703 

1,315,158 


410,466 

32, 566 

112,490 

648,664 


442,522 
34,869 
110,213 

666,494 


7 
8 
9 

10 


396,462 
349,073 
569,623 

514,853 


191, 734 
174, 759 
282,171 

244,870 


204,728 
174,314 
287,452 

269,983 


523,009 
246,254 
449, 079 

475,098 


249, 696 
119,559 
228, 006 

228, 302 


273,313 
126, 695 
221,073 

246, 796 


196, 372 
119, 258 
357,400 

271,894 


96,300 

67, 162 

181, 294 

129,834 


100,072 

62,106 

176, 106 

142,060 


58, 743 

28,221 

113,046 

89,014 


62,954 

28, 682 

112,227 

94,098 


1,007,613 

285, 126 

1,482,010 

4,156,291 


963,170 

269,381 

1,371,495 

4,055,557 


11 
12 
13 

14 


247, 060 


120,034 


127, 026 


223,286 


108,661 


114,625 


86, 268 


42, 196 


44,072 


76,884 


38,053 


38,831 


3,043,308 


1,556,348 


1, 486, 960 


15 


- 76,508 


38,383 


38,125 










■ 




9,209 
18,411 


4,435 
9,004 


4,774 
9,407 


99,018 
596,838 


51,340 
305, 970 


47, 678 
290, 868 


If 


48,540 


23,609 


24,931 


15,298 


7,412 


7,8B6 


r 








1,' 


131, 674 

38,878 

267,793 


62,640 
19,011 

124,836 


69,034 
19,867 

142,957 


140,021 
34,725 

251,812 


68, 260 
16,792 

119,641 


71,761 
17, 933 

132,171 


33,534 
37,436 

185,626 


15, 592 
19,192 

87,638 


17,942 
18,244 

97,988 


34,838 
14, 426 

106, 228 

34, 771 
14,145 
37,695 
19,617 

805,714 


17,422 
7,192 

60,961 


17,416 
7,234 

55,267 


1,514,117 
833, 335 

5, 167, 540 


761, 983 
437,055 

2, 598, 943 


752,134 
396,280 

2,568,597 


IS 
2C 

21 








96,537 
44,363 
60,212 
50,700 

1,957,622 


45,270 
21,318 
27,682 
26,371 

975,095 


51, 267 
23,046 
32,530 
25,329 

982, 527 


55,482 

56, 941 

64,918 

8,286 

1,287,707 


26,374 
27,069 
30,232 
3,973 

638,136 


29, 108 

29,882 

34, 686 

4,312 

649,571 


16, 573 
6,736 

17, 965 
9,687 

402,651 


18, 198 
7,409 

19, 730 
9,930 

403,063 


1,707,020 

1, 169. 060 

1,869,949 

421,511 

16,184,077 


850,460 
584,190 
941,796 
222, 498 

8,499,834 


856, 560 
584,870 
928, 164 
199,013 

7,684,243 


Of 


55,807 

183,557 

28,429 

1,383,767 


25, 592 
85,527 
13, 717 

699,009 


30,215 
98,030 
14,712 

684,758 


2S 
2J 
2c 

2e 


935,320 


466, 608 


468,712 


1, 522, 255 


758, 343 


763, 912 


848,796 


420,592 


428,204 


492, 202 

132, 581 
92, 282 

139,915 
51,767 
75,657 

313,612 


246, 085 


247,117 


8,783,198 


4,681,310 


4,201,888 


2" 


241,866 
176,794 
216,570 
382,718 
117,372 

448, 447 


121, 507 
86, 960 

109,325 
88,906 
.59, 910 

232, 401 


120,359 
.99,834 

107,245 
93, 812 
57,462 

216,046 


392, 922 
261,876 
356. 795 
278, 912 
231,750 

435, 367 


195, 614 
131, 108 
176, 454 
140, 844 
116,323 

216,762 


197, 308 
130, 768 
181,341 
138, 068 
116,427 

218, 615 


264, 679 
162, 573 
188, 203 
153, 222 
80,119 

438, 911 


130, 194 
80,677 
93,454 
76, 874 
39,393 

217,544 


134,485 
81,896 
94,749 
76, 348 
40,726 

221,367 


65, 734 
46,661 
69,568 
26,278 
36,854 

157,566 


66,847 
45,621 
70, 357 
25,489 
38,803 

155, 946 


2, 160, 446 
1,663,773 
2,221,492 
1, 468, 669 
1,278,829 

7,400,879 


1,110,945 
856,475 

1,161,583 
776, 761 
675,546 

3,918,524 


1, 049, 500 
797,298 

1,059,909 
691,898 
603,283 

3,482,355 


2{ 
2S 
3( 
31 
35 


52,969 
218,259 
26,023 


29,884 

109,323 

13, 773 


23,085 
108,936 
12,250 


51, 294 

156, 466 

87,571 

9,589 

10, 266 


26,003 
77, 405 
43,737 
4,907 
5,306 


25,291 
79, 061 
43,834 
4, 682 
4,960 


72,205 
81,754 
128.451 
7.652 
18,477 
52,968 
77, 404 

339,324 


36,445 
40, 168 
62,691 
3,852 
9,676 
26,098 
38, 724 

165,280 


35,760 
41,696 
65, 860 
3,800 
8,801 
26,870 
38,680 

174,044 


55,849 
115,907 
44, 090 
6,172 
12, 193 
31,009 
48,292 

291,598 


30, 323 
56, 836 
21, 376 
3,429 
6,322 
18,625 
23,655 

142,901 


25,626 
69, 071 
22, 714 
2,743 
6,871 
15,384 
24, 637 

148, 697 


1,163,294 

1,669,467 

1,978,561 

295, 733 

360, 634 

813,698 

1,139,592 

11,891,794 


622, 308 
873,127 
1,026,626 
1()8, 306 
194, 860 
432, 179 
604,119 

6,114,787 


530,986 
786,340 
951,935 
130, 428 
165,774 
381,419 
535, 473 

5, 777, 007 


3' 
3. 
3( 
3- 








3S 


66,170 
85,026 

591,870 


36,597 
42,824 

288,860 


29,573 
42,202 

303,010 


3' 


120,181 
371, 306 


59, 394 
182,211 


60, 787 
189,096 


4( 
4 


348,494 


167,252 


181, 242 


152,132 


72,784 


79,348 


166,402 


80, 145 


86, 267 


156, 977 


76,052 


80, 925 


6,416,701 

1,679,506 
1,693,977 
1,611,983 
1,431,235 

5,475,093 


3,201,618 


8,155,083 


4' 


97,608 
143, 656 
107,230 


46,426 
69, 269 
51,557 


51,182 
74,387 
55, 673 


60,620 
23,942 
26, 476 
41,094 

219,174 


30,042 
11,477 
12, 358 
18, 907 

109,427 


30, 578 
12,465 
14,118 
22,187 

109,747 


60, 687 
15,968 
48, 742 
41,005 

172,922 


29,207 

7,802 

23, 674 

19,462 

86, 185 


31,480 
8,166 
25,068 
21, 543 

87, 787 


44,022 
40,763 
34,266 
37, 936 

134, 621 


21,633 
19,547 
16,756 
18, 216 

66, 849 


22,489 
21,206 
17,510 
19,720 

67, 772 


863,488 
860, 845 
812,419 
724,866 

2,853,169 


816,018 
833, 132 
799,664 
706,369 

2,621,924 


4i 
4- 
4f 
4f 


2-13,376 


121,608 


121,768 


4' 








27,282 
33,056 


13,575 
16,046 


13, 707 
17,010 


32, 890 
19,033 
9,935 


16,073 
9,461 
5,108 


16,817 
9,572 
4,827 


19,012 
21,337 
12,271 
16,168 
65,833 

191, 684 


9,145 
10, 27U 
6,487 
8,613 
32,334 

103,208 


9,867 
11,067 
5,784 
7,656 
33,499 

83,476 


' 1,015,337 

1,199,831 

369, 854 

362,120 

2,527,951 

2,430,397 


519,872 
620, 264 
197,357 
194,975 
1,320,701 

1,406,016 


495, 465 
579,667 
172, 497 
167, 145 
1,207,250 

1,024,381 


4J 


38,307 


19,271 


19, 036 


4< 

5f 








20,043 
138,793 

243,848 


10, 771 
69,035 

129,765 


9,272 
69,758 

114,083 


51 


205,069 
454,059 


102,337 
255,086 


102,732 
198,973 


111,064 
192,241 


54,493 
101,680 


56, 671 
90,661 


5S 


■58, 627 


33,521 


2.5,106 


101,134 


56,065 


45,069 


47, 054 


25,380 


21,674 


65,805 


35,681 


30,124 


826,163 


483, 714 


342,449 


5-, 


30,470 


18,171 


12,299 


35, 153 


20,353 


14,800 


4,306 
10,003 

4,363 
10,481 
11,841 

29,211 


2,398 
5,394 
2,784 
8,594 
6,210 

14, 996 


1,968 
4,609 
1,579 
7,887 
6,631 

14,215 


14,565 


8,264 


6,301 


158,775 
151,769 
65,874 
279,049 
170, 696 

309,898 


100,656 
87,973 
42, 978 

161, 066 
91,042 

172,028 


68,119 
63, 796 
22,896 
117,984 
79,664 

137,870 


5{ 
5f 






22, 294 
43,687 


12,422 
23,290 


9,872 
20,397 








5- 


28,157 


15,350 


12,807 


38,467 
12, 773 

33,062 

6,420 
23, 947 
2, 695 

92, 817 


20,441 
6,976 

18,022 


18,026 
5,797 

15,040 


.5' 


.53, .531 


25,849 


27,682 


16,313 


8,190 


8,123 


6( 














13,076 
11,636 
4,500 

115,976 


6,929 
5,573 
2,494 

61,304 


6,146 
6,063 
2,006 

54,672 


4,453 

12,167 

1,402 

49, 505 


1,967 
11,780 
1,293 

43,312 


103,436 
171,322 
35,140 

1,294,336 


60,413 
89,908 
21,707 

750,274 


43,023 
81,414 
13,433 

644,062 


61 


.53,631 


25,849 27,682 


16, 313 


8,190 


8,123 


6' 
6f 


341,901 


195,716 i 146,185 


126,401 


65,510 


60,891 


tv, 


1.55, 233 
90,426 
96,242 


93,920 61,313 
53,128 1 37,298 
48, 668 47, 574 


10,049 

8,381 

107,971 


6,359 

5,327 

53,824 


3,690 

3,054 

64, 147 


23,468 
15,327 
77,181 


13,246 

8,391 

39,667 


10,222 

6,936 

37,514 


22,727 

19,046 

- 51,044 


12,856 

9,868 

26, 781 


9,871 

9,178 

24,263 


306,626 
280.356 
707,354 


177,797 
156,271 
416,206 


128,829 
124,085 
291,148 


6. 
6t 
6" 



36 

Table 4.— CLASSIFICATION, BY SEX, OF THE POPULATION LIVING IN CITIES 





STATE OK TERRITORY. 








popclation: 


1890. 










Total. 


Male. 


Female. 


In cities having — 




At least 2,500 inhabitants. 


At least 100,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


1 




62, 947, 714 


32,237,101 


30, 710, 613 


22, 659, 867 


11,283,148 


11,276,219 


9, 697, 960 


4,850,653 


4,847,307 




2 


17,406,969 


8,680,657 


8, 726, 312 


10, 718, 903 


5,262,988 


5,455,915 


5, 027, 528 


2,475,551 


2,561,977 




3 


4, 700, 749 


2,313,759 


2,386,990 


3,367,886 


1,630,495 


1,731,391 


580, 623 


281,323 


299, 300 




4 
6 
6 


661,086 
376,630 
332,422 
2, 238, 947 
" 345,600 
746,258 

12, 706, 220 


332,590 
186, 566 
169,327 
1,087,713 
168,026 
369, 638 

6, 366, 898 


328, 496 
189,964 
163, 095 
1,151,234 
177, 481 
376, 720 

6,339,322 


274, 386 
189, 721 
72, 170 
2,003,854 
328,010 
499, 745 

7,351,017 


133, 871 
91,206 
36,809 
970, 387 
1.58.965 
246, 257 

3,626,493 


140, 515 
98.515 
36, 361 
1,033,467 
169,046 
253, 488 

3,724,524 


























448,477 
132.146 


217, 754 
63, .569 


230, 723 
68, 677 


8 
9 








4, 446, 905 


2, 194, 228 


2, 252, 677 








6,003,174 
1.444,933 
6,258,113 

8,857,922 


2, 979, 690 

720,819 

2,666,389 

4,418,771 


3,023,484 

724, 114 

2, .591. 724 

4,439,161 


3, 911, 247 

882,373 

2, 557, 397 

1, 730, 600 


1,915,281 

435,782 

1, 275, 430 

830,672 


1,995,966 

446, 691 

1,281,967 

900,028 


2,711,204 

344,833 

1,390,868 

664,831 


1, 335, 039 
171,026 
688, 163 

315, 698 


1,376,165 
173, 807 
702,705 

349, 133 




















3. 860, 049 


1,925,411 


1,934,638 


1,161,189 


657, 916 


603,273 


664,831 


31,5,698 


349, 133 








168.493 
1,042,390 

230,392 
1,665,980 

762, 794 

4,997,873 


85,573 
515,691 
109. 584 
824,278 
390, 286 

2,493,360 


82.920 
526, 699 
120, 808 
831,702 
372, 609 

2,504,613 


68, 602 
498, 209 
230, 392 
282, 721 

81,365 

669,411 


34, 337 
237,389 
109, 584 
136,241 

40, 365 

272, 656 


34, 165 
260,820 
120, 808 
146,480 

41, 000 

296,755 












434, 439 
230,392 


206, 114 
109, 584 


228, 325 
120, 808 


,1, 


















1 




















1,017,949 

1.151,149 

1, 837, 353 

391, 422 

22,410,417 


799,151 
572, 337 
919, 925 
201,947 

11,618,590 


818,798 
678, 812 
917,428 
189, 475 

10,791,827 


115, 769 

118,822 

257, 472 

77,358 

7,413,216 


66,348 

66, 004 

122,293 

39, Oil 

3, 765, 151 


60, 411 

62, 818 

135, 179 

38, 347 

3, 648, 065 








*" 


































3,196,723 


1,636,781 


1,559,942 








13, 478, 305 


6,916,423 


6,661,882 


5,100,678 


2,668,841 


2, ,631, 837 


2,173,891 


1,100,304 


1,073,587 




Qliio 




3, 672, 329 
2.192,404 
3, 826, 362 
2,093.890 
1,693,330 

8, 932, 112 


1,855,748 
1,118,347 
1,972,309 
1,091,781 
878,238 

4, 702, 167 


1,816,681 
1,074,067 
1,854,043 
1,002,109 
815, 092 

4, 229, 946 


1,603,097 
590, 039 

1,708,790 
730,294 
668,468 

2,312,538 


747,456 
294, 135 
870, 963 
370, 160 
286, 138 

1,196,310 


755, 642 
296,904 
837, 837 
360, 134 
282, 320 

1,116,228 


558,261 
105, 436 
1,099,850 
206, 876 
204,468 

1, 022, 832 


277,528 
52,303 
.568,402 
101,298 
100,773 

536,477 


280, 733 
63, 133 
631, 448 
104, .578 
103, 695 

486. 355 








Tllinois 


















54 

lb 


1,310.283 
1.912,297 
2, 679. 185 
190, 983 
348, 600 
1,062,656 
1,428,108 

11,170,137 


699,355 
994, 667 
1,385,239 
105, 639 
189, 913 
674, 707 
762, 647 

5,699,424 


610,928 
917, 630 
1,293,946 
86, 344 
158,687 
487, 949 
675,461 

5,470,713 


443, 049 
406, 764 
860, 685 
10,643 
28, 555 
291,641 
272, 201 

1,539,286 


236,677 
204, 271 
438, 577 
5,617 
16,178 
159, 865 
137,226 

761,003 


207,472 
201, 493 
422, 108 
5,026 
13,377 
131,776 
134, 976 

778, 283 


297, 894 


157,204 


140.690 






584,486 


299,165 


285, 321 




















140,452 


80, 108 


60, 344 










403,168 


192, 079 


211,089 








6,429,154 


3, 241, 636 


3,187,519 


819,886 


401,265 


418,620 


161,129 


78,612 


82, 617 








1,868,636 
1,767,518 
1,613,401 
1,289,600 

4,740,983 


942,758 
891, 685 
757,605 
649, 687 

2,457,789 


915,877 
875, 933 
755,796 
639, 913 

2,283,194 


356, 713 

240,971 

152, 235 

69,966 

719,401 


174,119 

119, 918 

74,494 

32, 734 

369,738 


182, 694 

121, 0,53 

77, 741 

37, 232 

359,663 


161, 129 


78, 612 


82,617 































242,039 


113, 467 


128, 572 








1,118,588 

1,128,211 

180, 182 

78,476 

2, 235, 527 

3, 102, 269 


669, 361 

685, 787 

96, 686 

43,509 

1,172,656 

1,819,669 


559,237 

542, 424 

83,596 

34, 966 

1,062,971 

1,282,610 


287, 177 
73, 159 


135, 629 
37,248 


1.51,648 
35, 911 


242,039 


113,467 


128, 572 


In 


Arkansas 














6,939 
352, 126 

1,157,362 


4,243 
182,618 

663,434 


2,696 
169,508 

493,928 






















405, 710 


230,644 


175, 166 






M 


807,558 


618,882 


348, 676 


256, 146 


151,111 


106,036 


106, 713 


60, 744 


45, 969 






'i's 


142, 924 
88,648 
62,565 
413,249 
160, 282 

346, 377 


93, 117 
63, 346 
40, 253 
245,765 
86, 401 

192, 749 


49, 807 
36,202 
22, 302 
167,4,84 
73, 881 

153,628 


(38,787 


24,982' 


13,806 








Sfi 










'S? 




21,484 

185, 906 

9,970 

99,481 


13, 041 

107,815 

5,273 

54, 785 


8,443 
78,090 
4,697 

44, 696 








'Sft 




106, 713 


60, 744 


4S.9i;9 


m 




fiO 




















fii 


88,243 

210, 779 

47, 355 

1, 888, 334 


50, 743 
111,975 
'30,031 

1,108,028 


37, .500 
98, 804 
17, 324 

780, 306 


8,302 
.75,155 
16, 024 

801, 735 


4,772 

40, 413 

9,600 

457, 638 


3,630 

34, 742 

6,424 

344,197 










Utah 








fi"^ 










fi'i 




298,997 


169,800 


129, 197 






e,'\ 


357,232 

317, 704 

1,213,398 


221,566 
183, 683 
702, 779 


135,666 
134,021 
610,619 


127,178 

85,093 

589,464 


81, 276 

51,635 

324, 727 


45, 902 
33, .5.58 
264, 737 


















67 


California 


298,997 


169,800 


129, 197 







37 



WITHIN SPECIFIED LIMITS OF SIZE AND IN COUNTEY DISTRICTS: 1890. 



population; 1890 — continued. 




In cities having — 


In country districts. 




25,000 to 100,000 Inhabitants. 


8,000 to 25,000 inhabitants. 


4,000 to 8,000 inhabitants. 


2,500 to 4,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 




4,291,608 


2,145,961 


2, 145, 647 


4, 255, 057 


2, 134, 615 


2,120,442 


2,449,299 


1,218,733 


1,230,566 


1,866,443 


933,186 


932,257 


40,388,347 


20,953,953 


19,434,394 


1 


2,111,122 


1,027,636 


1,083,486 


1,836,526 


902,016 


934, 510 


1,044,731 


513, 047 


531,084 


698, 996 


344,138 


354, 858 


6,688,066 


3,417,669 


3,270,397 


2 


1, 026, 947 


494, 403 


532,544 


834, 766 


404,816 


429,950 


566,042 


278,246 


287,797 


359,608 


177,708 


181,800 


1,332,863 


677,264 


655,599 


3 


36,425 
44, 126 


16, 994 
19,864 


19,431 
24, 262 


93,921 

58, 932 

22,829 

409, 731 

112, 792 

136, 561 

1,001,760 


45,180 
28, 657 
11,029 
198,406 
55,064 
66, 480 

497,200 


48,741 
30, 275 
11,800 
211, 325 
57, 728 
70, 081 

504,560 


95, 922 
38,368 
17, 384 
294, 369 
37, 764 
82, 235 

478,689 


47,552 
18,480 
8,876 
144,324 
18, 380 
40,633 

235,402 


48,370 
19,888 
8,508 
150, 045 
19, 384 
41,602 

243,287 


48,118 
48, 295 
31,957 
144,654 
17, 676 
68, 909 

339,488 


24, 145 
24, 205 
15,904 
70,466 
8,763 
34,226 

166,430 


23,973 
24, 090 
16,053 
74,088 
8,912 
34, 684 

173,058 


386,700 
186,809 
260, 252 
235, 093 
17,496 
246, 513 

5,355,203 


198, 719 
95,360 
133,618 
117,326 
9,060 
123, 281 

2, 740, 405 


187,981 
91,449 
126, 734 
117,767 
8,436 
123,232 

2,614,798 


4 
6 
6 


706, 723 
27,633 
212,040 

1, 084, 175 


339,437 

13,189 

104,919 

533,233 


367, 286 

14,444 

107,121 

550,942 


7 
8 
9 

10 


442,324 
275,530 
366,321 

409,189 


213, 910 
136, 718 
182, 605 

195,596 


228,414 
138,812 
183, 716 

213,593 


446, 349 
160,549 
394, 862 

345, 944 


215,367 

79,227 

202, 606 

168, 238 


230, 982 
81,322 
192,256 

177, 706 


205, 600 

56,533 

216,556 

134,226 


100,479 

27,277 

107, 646 

64, 827 


105,121 

29,256 

108, 910 

69, 399 


105,770 

44, 928 

188,790 

176,410 


60,486 
21,634 
94,410 

86,213 


55,284 
23,394 
94,380 

90,197 


2,091,927 

562, 560 

2,700,716 

7,127,322 


1,064,409 

285,037 

1,390,959 

3,588,199 


1,027,518 

277, 523 

1,309,757 

3,539,123 


11 
12 
13 

14 


212, 212 
61,431 


102, 596 


109, 616 


155,262 


75, 365 


79,897 


56, .513 


27,747 


28, 766 


72, 371 


36,510 


35, 861 


2,698,860 


1,367,495 


1,331,365 


15 


30,814 


30, 617 








4,010 
11, 796 


2,160 
5,902 


1,850 
5,894 


3,061 
20, 934 


1,363 
10,825 


1,698 
10, 109 


99, 991 
544,181 


51,236 
278,302 


48, 755 
265,879 


Ifi 


31,040 


14,548 


16,492 


17 








IS 


116, 259 
34, 522 

196,977 


54,843 
16, 939 

93,000 


61,416 
17,583 

103,977 


105, 706 
18,516 

190,682 


51,449 
9,368 

92,873 


54,257 
9,148 

97, 809 


26, 739 
13,968 

77,713 


12,874 
6,811 

37,080 


13, 866 
7,157 

40,633 


34,017 
14,3.59 

104,039 


17,076 
7,247 

49,703 


16, 942 

7,112 

54,336 


1,373,259 
681,429 

4,428,462 


688, 037 
349, 920 

2,220,704 


685, 222 
331,509 

2,207,768 


19 
20 

21 








62,544 
23,960 
57, 147 
47,031 

1,544,500 


80,461 
11, 567 
27,312 
23,533 

782,472 


32,083 
12, 393 
29, 835 
23,498 

762,028 


34, 515 
5,544 
27, 380 

10, 274 

950, 593 


16, 010 
2,738 

12, 917 
5,415 

473,546 


18, 505 
2,806 

14,463 
4,859 

477,047 


18,700 
34,363 
30,923 
20,053 

668,280 


8,877 
16,094 
14, 669 
10,063 

332,348 


9,823 
18,269 
16,2.54 

9,990 

335, 932 


1,. 502, 190 

1, 032, 327 

1,679 881 

314,064 

14,997,201 


743,803 
.516, 333 
797,632 
162, 936 

7, 853, 439 


7.58, 387 
515, 994 
782,249 
1.51,128 

7,143,762 


22 


54,955 
142,022 


25,605 
67, 395 


29, 350 
74,627 


23 
24 
25 


1,053,120 


540,004 


513, 116 


20 


698, 122 


351,654 


346, 468 


1.144,491 


678, 773 


666,718 


659,338 


327,3.53 


331,985 


424,836 


210,757 


214,079 


8,377,627 


4,347,582 


4,030,045 


27 


349, 709 
116,366 

72, 518 
134,439 

25,090 

354,998 


176, 189 
58,349 
36, 395 
68, 176 
12,645 

188,350 


173, 520 
58,017 
36, 123 
66, 263 
12,545 

166,648 


251,372 
178,764 
313,587 
205, 780 
194,988 

400,009 


126, 205 
89,767 
157, 230 
106, 126 
100, 445 

203,699 


126, 167 
88,997 

156, 357 
99, 654 
94,543 

196,310 


228,542 
106, 567 
119, 613 
106,436 
98, 280 

291,255 


111,787 
52, 825 
68,423 
55, 019 
49, 299 

146, 193 


116, 7.55 
53,742 
61, 090 
51,417 
48,981 

145,062 


116,213 
82, 906 

103,322 
77, 763 
45,632 

243,444 


56, 746 
40, 891 
50, 603 
39, 541 
23, 076 

121,591 


68,467 
42,015 
52,819 
38, 222 
22,556 

121, 853 


2,169,232 
1,602,365 
2, 117, 562 
1,363,596 
1,124,872 

6,619,574 


1,108,293 
824, 212 

1,101,356 
721, 621 
592, 100 

3,605,857 


1,060,939 
778, 153 

1,016,206 
641,975 
.532, 772 

3,113,717 


28 
29 
30 
31 
32 

33 


33,115 

145, 082 

52,324 


20,975 
75,030 
27, 316 


12,140 
70,052 
25,008 


38, 306 

124, 148 

66, 933 


19, 602 
62, 255 
33, 755 


18,704 
61, 893 
33, 178 


35, 776 

64, 933 

107,825 

10, 643 


18, 098 
32, 196 
53, 969 
5,617 


17, 678 
32, 737 
53,8.56 
5,026 


37,958 
71, 601 
49,117 


19, 698 
34, 790 
24, 372 


18,200 
36,811 
24, 745 


867,234 

1,506,633 

1,. SIS, 500 

ISO, 340 

320, 045 

771,015 

1,15.5,907 

9,630,851 


463, 778 
790, 396 
946, 662 
100, 022 
174, 735 
414,842 
615, 422 

4,938,421 


403,456 
716, 137 
871, 838 
80, 318 
145, 310 
356, 173 
540, 485 

4,692,430 


34 
35 
36 
37 








10, 177 
63,889 
96,656 

321,278 


5,595 
34,054 
48,438 

161,003 


4,582 
29,835 
48, 118 

160,276 


18,378 
17,863 
48,527 

200,054 


9,583 

9,005 

24,143 

99,568 


8, 795 

8,858 

24,384 

100,486 


3s 


55,154 
69,323 

422, 643 


29, 395 
35, 634 

213,349 


25,759 
33, 689 

209, 294 


14,283 
57,795 

192,^.43 


7,303 
29,010 

9.5,004 


6,9,80 
28,786 

97, 139 


39 
40 

41 


264,388 


131,083 


133,305 


176, 507 


85, 224 


91,283 


118,529 


57, 578 


60,951 


99,332 


48,768 


60,564 


5,609,269 


2,840,370 


2,768,899 


42 


37, 371 

169, 763 

57,254 


18, 042 
84,894 
28,147 


19, 329 
84,869 
29, 107 


77, 954 
32,574 
31,881 
34, 098 

144,771 


37,880 
16,243 
15,165 
15, 946 

75, 779 


40, 074 
16,331 
16, 726 
18, 1.52 

68,992 


49, 156 
17, 465 
34,782 
17,137 

73, 614 


23, 986 
8,564 

16,873 
8,155 

37, 426 


25,169 
8,891 

17,909 
8,982 

36,188 


31,104 
21, 179 
28,318 
18,731 

100,722 


15, 599 

10,217 

14,319 

8,633 

50,800 


16,605 
10,962 
13,999 
10, 098 

49, 922 


1,501,922 
1,. 626, .547 
1, 361, 166 
1,219,634 

4,021,582 


768,639 
771,067 
683, 111 
616,953 

2,098,0.51 


733, 2S3 
754,, SSO 
678, 065 
602, 681 

1,923,531 


43 
41 
45 
46 


158,255 


82,266 


75,989 


47 








22,4.57 
29,349 


11, 126 
15,429 


11,331 
13,920 








22, 681 
12, 747 


11,036 1 11.645 


831,411 
1,055,052 

180, 182 

71,636 

1,883,401 

1,944,907 


423,722 

548,539 

96,586 

39,266 

989,938 

1,156,225 


407, 689 

506,-513 

83. 596 

32,270 

893.463 

788,082 


48 


25,874 


12, 962 


12, 912 


5,189 


2,555 


2,634 


6,302 


6,445 


49 

,50 














4,151 
64, 274 

127, 606 


2,453 
32,418 

71,709 


i,698 
31,856 

55,897 


2,788 
62,506 

121,703 


1,790 
31, 672 

70,919 


998 
30,834 

50,784 


51 


132,381 
295,534 


69,304 
169,376 


63,077 
126,158 


92,965 
206,809 


49,224 
120,886 


43,741 
85,923 


.52 
53 








82, 329 


50,456 


31,873 


28,365 


15,480 


12,885 


38,739 


24,431 


14,308 


611,412 

104, 137 
88,548 
41,071 
227,344 
150,312 

246,896 


367, 771 


243,641 


.54 
















24,. 557 


15,502 


9,055 








14,230 


9,480 


4,750 


68,135 
53,346 
27, 212 
137,9.50 
81, 128 

137,964 


36, 002 
35,202 
13,859 
89, 394 
69, 184 

108,932 
















66 








11,690 
46, 082 


7, 146 
27, 808 


4,. 644 
18, 274 


6,388 
15, 792 
6,185 

14,874 


3,596 
8,722 
3,162 

7, 575 


2,792 
7,070 
3,023 

7,299 


3,406 
17,318 
3,785 

16, 364 


2,299 
10,541 
2,111 

9,714 


1,107 
6,777 
1,674 

6,650 


67 








.58 








5« 


44,843 


24,322 


20,621 


23, 400 


13, 174 


10,226 


60 














5,150 
9,724 


2,801 
4, 774 


2,349 
4, 9,50 


3,152 
5,699 
7.513 

06, 600 


1,971 
3,083 
4,660 

36,774 


1,181 
2,616 
2,863 

29,826 


79,941 

135,624 

31,331 

1,086,599 

230,0.51 
232,011 
623,934 


45,971 
71,. 562 
20, 431 

650,490 


33,970 
64,062 
10, 900 

436, 109 


61 


44,843 


24,322 


20,521 


14,889 
8,511 

101,080 


8,234 
4,940 

57,256 


0,655 
3, .571 

43, 824 


62 
63 


250,691 


145,054 


105,637 


84, 367 

22,100 
11,313 
50,954 


48.654 


3,5,713 


64 


78,843 
46,385 
125,463 


49,753 
29, 051 
66,250 


29,090 
17,334 
59,213 


19, 922 
10. 532 
70,626 


13, 271 
5,846 
38,139 


6,651 
4,686 
32,487 


14,610 

7,184 

26, 960 


7,. 590 

4, 129 

23,994 


6,313 
16, 863 
43,424 


3,742 

9,454 

23,678 


2,571 

7,409 

19,840 


140,2i!0 
132, 148 
378,052 


89,764 
100,463 
245, 882 


65 
66 
67 



38 

Table 5.— PER CENT MALE AND FEMALE IN THE TOTAL POPULATION AND IN THE POPULATION LIVING IN CITIES 
WITHIN SPECIFIED LIMITS OF SIZE AND IN COUNTRY DISTRICTS: 1900. 



















population: 1900. 














^ 


Total. 












In cities 


having— 










In c 
dis 




STATE OB TEEKITOKY. 


At least 2,600 
inhabitants. 


AtleastlOO.OOO 
inhabitants. 


25,000 to lOO.OOt 
inhabitants. 


8,000 to 25,000 
inhabitants. 


4,000 to 8,000 
inhabitants. 


2,600 to 4,000 
inhabitants. 


tricts. 




Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female 


Per 
cent 
male. 


Per 

cent 

female 


Per 
cent 
male. 


Per 

cent 

female 


Per 
cent 
male. 


Per 

cent 

female 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Continental United States 


51.1 


48.9 


49.7 


50.3 


49.7 


60.3 


49.8 


50.2 


49.3 


50.7 


49.5 


50.5 


_ 50.1 


49.9 


52.0 








North Atlantic division 


50.0 


50.0 


49.3 


50.7 


49.5 


50.5 


48.9 


51.1 


48.8 


61.2 


49.4 


60.6 


50.0 


60.0 


51.6 


- 






New England 


49.4 


50.6 


48.8 


51.2 


49.0 


51.0 


48.5 


51.^ 


48.5 


51.5 


49.0 


51.0 


50.6 


49.4 


51.3 










50.5 
49.9 
51.0 
48.7 
49.1 
50.0 

50.2 


49.5 
50.1 
49.0 
51.3 
50.9 
50.0 

49.8 


49.1 
48.4 
49.1 
48.6 
48.9 
49.8 

49.5 


50.9 
51.6 
50.9 
61.4 
61.1 
60.2 

50.5 






47.3 
46.7 


52.7 
63.3 


47.7 
48.8 
48.7 
48.2 
49.8 
48.7 

49.0 


52.3 
51.2 
51.3 
51.8 
50.2 
51.3 

51.0 


49.4 
48.0 
48.0 
49.0 
49.3 
49.2 

49.7 


50.6 
52.0 
52.0 
51.0 
50.7 
60.8 

50.3 


63.2 
50.6 
61.7 
49.7 
60.2 
60.3 

49.6 


46.8 
49.4 
48.3 
50.3 
49.8 
49.7 

60.5 


51.7 
51.7 
51.7 
50.5 
62.7 
60.8 

61.6 










48. 3 
48.3 


Vermont 








49.0 
48.4 
49.8 

49.6 


51.0 
61.6 
50.2 

50.4 


48.1 
48.3 
60.6 

49.3 


51.9 
51.7 
49.5 

50.7 


Rhode Island 








Southern North Atlantic 


48.4 


New York 


49.7 
50.0 
50.8 

50.0 


50.3 
50.0 
49.2 

50.0 


49.2 
49.4 
49.9 

47.8 


50.8 
.50.6 
60.1 

52.2 


49.5 
49.7 
49.7 

47.6 


50.6 
50.3 
60.3 

62.4 


48.4 
50.1 
49.5 

47.6 


51.6 
49.9 
50.5 

82.4 


47.7 
48.6 
50.8 

48.1 


52.3 
61.4 
49.2 

61.9 


49.0 
47.9 
50.7 

47.8 


61.0 
52.1 
49.3 

52.2 


48.3 
49.6 
50.2 

48.6 


61.7 
50.4 
49.8 

51.4 


61.1 
61.4 
61.9 

60.6 








Pennsvlvania . 




South Atlantic division .... 








Northern South Atlantic 


50.2 


49.8 


48.1 


51.9 


47.6 


52.4 


48.6 


51.4 


48.7 


51.3 


48.9 


51.1 


49.5 


50.5 


51.1 


48.9 


Delaware 


61.0 
49.6 
47.4 
49.9 
52.1 

49.9 


49.0 
50.4 
52.6 
50.1 
47.9 

50.1 


50.0 
47.9 
47.4 
48.2 
49.6 

47.2 


50.0 
52.1 
52.6 
51.8 
50.4 

52.8 




50.2 


49.8 










48.2 
48.9 


51.8 
51.1 


51.8 
61.3 


48.2 

48.7 


Maryland 


47.8 
47.4 


62.2 
52.6 


48.6 


51.4 


48.5 


51.5 


District of Columbia 






Virginia 


47.6 
48.9 

46.6 


52.4 
51.1 

53.4 


48.7 
48.4 

47.5 


51.3 
51.6 

52.5 


46.5 
51.3 

47.2 


5:j.5 

48.7 
52.8 


60.0 
49.9 

48.0 


50.0 
50.1 

52.0 


50.3 
62.4 

50.3 


49.7 
47.6 

49.7 


West Virginia 






Southern South Atlantic 












North Carolina 

South Carolina 


49.6 
49.6 
49.8 
52.1 

51.6 


50.4 
50.4 
50.2 
47.9 

48.4 


47.2 
47.1 
46.6 
49.3 

50.1 


52.8 
62.9 
63.4 
50.7 

49.9 






"ib.9 
46.6 
48.3 

50.5 


""64.'i' 
53.4 

51.7 

49.5 


46.9 
48.1 
46.0 
50.0 

49.8 


53.1 
51.9 
54.0 
50.0 

. 50.2 


47.5 
47.5 
46.6 
48.0 

49.6 


52. 5 
52.5 
53.4 
52.0 

50.4 


47.7 
47.6 
47.7 
49.4 

50.0 


52.3 
52.4 
52.3 
50.6 

50.0 


49.8 
50.0 
50.4 
52.8 

52.6 


60.2 
50.0 
49.6 
47.2 


Georgia 






Florida 






North Central division 


50.4 


49.6 








51.2 


48.8 


49.9 


50.1 


50.1 


49.9 


49.9 


60.1 


49.8 


50.2 


49.6 


50.4 


49.8 


50.2 


62.2 


47.8 




Ohio 


50.6 
. 51.1 
51.3 
51.6 
51.6 

52.3 


49.4 
48.9 
48.7 
48.4 
48.4 

47.7 


49.7 
49.7 
50.4 
49.6 
49.6 

50.7 


50.3 
60.3 
49.6 

50.4 
50.4 

49.3 


49.6 
49.4 
60.8 
48.7 
49.3 

51.1 


50.4 
50.6 
49.2 
51.3 
50.7 

48.9 


50.2 
49.2 
60.5 
48.7 
51.0 

51.8 


49.8 
50.8 
49.5 
51.3 
49.0 

48.2 


49.8 
50.1 
49.2 
50.5 
49.8 

49.8 


50.2 
49.9 
50.8 
49.5 
60.2 

60.2 


49.2 
49.6 
49.7 
50.2 
49.2 

49.6 


.50.8 
.50.4 
50.3 
49.8 
50.8 

50.4 


49.6 
60.6 
49.7 
50.8 
48.7 

50.3 


.50.4 
49.4 
50.3 
49.2 
51.3 

49.7 


51.4 
61.8 
52.3 
62.9 

52.8 

52.9 




Indiana 

Illinois 


48.2 
47.7 
47.1 






Western North Central 


47.1 






53.2 
.51.8 
.51.4 
56.6 
63.8 
52.9 
52.3 

51.0 


46.8 
48.2 
48.6 
44.4 
46.2 
47.1 
47.7 

49.0 


51.9 
49.6 
50.4 
52.1 
52.0 
52.4 
49.7 

48.8 


48.1 
60.4 
49.6 
47.9 
48.0 
47.6 
60.3 

51.2 


51.3 


48.7 


56.4 
60.1 
62.9 


43.6 
49.9 

47.1 


50.7 
49.5 
49.9 
51.2 
51.7 


49.3 
50.5 
50.1 
48. S 
48.3 


50.5 
49.1 
48.7 
60.3 
52.4 
49.3 
50.0 

48.7 


49.5 
50.9 
51.3 
49.7 
47.' 6 
50.7 
50.0 

51.3 


54.3 
49.0 
48.5 
65.6 
51.8 
50.4 
49.0 

49.0 


45.7 
51.0 
51.5 
44.4 
48.2 
49.6 
51.0 

51.0 


54.0 
.52.6 
51.9 
,55.9 
54.0 
53.1 
53.0 

61.4 




Iowa 


47.4 




50.8 


49.2 


North Dakota 


44.1 
46.0 
46.9 
47.0 

48.6 


South Dakota 










Nebraska 


62.7 


47.3 


56.3 
50.4 

48.8 


44.7 
49.6 

51.2 


Kansas 


49.4 
49.1 


50.6 
50.9 


South Central division 


48.5 


51.5 




Eastern South Central 


50.5 


49.5 


48.5 


51.5 


-49.4 


50.6 


48.0 


52.0 


47.8 


62.2 


48.2 


61.8 


48.4 


51.6 


50.8 


49.2 




Kentucky . . 


50.8 
50.5 
50.1 
50.4 

51.6 


49.2 
49.5 
49.9 
49.6 

48.4 


48.6 
49.1 
48.1 
47.1 

49.1 


61.5 
50.9 
51.9 
62.9 

50.9 


48.6 
51.1 


51.4 
48.9 


47.6 
48.2 
48.1 


52.4 
51.8 
51.9 


49.6 
47.9 
46.7 
46.0 

49.9 


50.4 
62.1 
63.3 
54.0 

50.1 


48.1 
48.9 
48.6 
47.5 

49.2 


51.9 
51.1 
51.4 
52.5 

50.8 


48.9 
48.0 
48.9 
48.0 

49.7 


51.1 
52.0 
61.1 
52.0 

50.3 


51.4 
50.8 
50.4 
60.6 

52.1 








Alabama 


49.6 
49.4 


Mississippi 






Western South Central 


47.4 


52.6 


50.0 


50.0 






Louisiana 

Arkansas 


50.3 
51.5 
53.3 
53.8 
51.8 

56.2 


49.7 
48.5 
46.7 
46.2 
48.2 

43.8 


47.7 
49.3 
52.2 
53.5 
49.6 

53.7 


52.3 
.50.7 
47.8 
46.5 
50.4 

46.3 


47.4 


52.6 


"so.'s' 


""49.'7' 


49.8 
48.5 


50.2 
51.5 


48.9 
49.7 
51.4 


61.1 
60.3 
48.6 


48.1 
48.1 
52.9 
63.3 
49.1 

53.8 


51.9 
51.9 
47.1 
46.7 
50.9 

46.2 


51.2 
51.7 
63.4 
63.8 
52.2 

57.9 


48.8 
48.3 
46.6 
46.2 


Indian Territory 






Oklahoma 










53.7 
49.7 

53.2 


46.3 
50.3 

46.8 


Western division 


52.1 


47.9 


49.9 
56.2 


60.1 
43.8 


49.1 
52.9 


50.9 
47.1 


47.8 




42.1 




56.9 


43.1 


53.4 


46.6 


49.7 


50.3 


57.2 


42.8 


56.4 


44.6 


53.9 


46.1 


64.2 


46.8 


58.5 







41.5 


Montana 


61.6 
57.7 
62.9 
54.7 
53.4 

54.1 


38.4 
42.3 
37.1 
45.3 
46.6 

46.9 


58.2 
53.9 
67.0 
51.5 
53.6 

.50.8 


41. S 
46.1 
43.0 
48.5 
46.4 

49.2 






59.6 


40.4 


57.9 


42.1 


54.9 
53.9 
63.8 
52.1 
52.4 

51.3 


45.1 
46.1 
36.2 
47.9 
47.6 

48.7 


56.7 


43.3 


63.4 
58.0 
65.2 
67.7 
63.3 

55.5 


36.6 
42.0 
34.8 


Idaho 






Wyoming 










55.7 
53.3 


44.3 
46.7 








49.7 


50.3 


64.5 


45.5 


53.1 
54.6 

54.5 


46.9 
45.4 

45.5 


New Mexico 


42.3 
46.7 

44.5 


Basin and Plateau... 






48.3 


61.7 


50.2 


49.8 








Arizona 


58.4 
51.2 
60.5 

56.2 


41.6 
48.8 
39.5 

43.8 


58.4 
49.1 
64.1 

54.1 


41.6 
50.9 
45.9 

45.9 














63.0 
47.9 
55.4 

52.9 


47.0 
62.1 
44.6 

47.1 


69.4 
50.8 
52.0 

53.3 


30.6 
49.2 
48.0 

46.7 


58.4 
52.5 
61.8 

58.0 


41.6 


Utah 






48.3 


51.7 


50.2 


49.8 


Nevada 






38.2 


Pacific 


52.9 


47.1 


57.2 


42.8 


51.8 


48.2 




42.0 


\\ ashington 


58.7 
56.3 
55.3 


41.3 
43.7 
44.7 


59.8 
67.6 
62.0 


40.2 
42.4 
48.0 






60.5 
58.8 
50.6 


39.5 
41.2 
49.4 


63.3 
63.6 
49.9 


36.7 
36.4 
60.1 


66.4 
54.7 
51.4 


43.6 
45.3 
48.6 


56.6 
51.8 
52.5 


43.4 
48.2 
47.5 


68.0 
65.7 
58.8 




Oregon 








California 


52.9 


47.1 




1 


41.2 



39 

Table 6.— PER CEiSlT MALE AND FEMALE IN THE TOTAL POPULATION AND IN THE POPULATION LIVING IN 
CITIES WITHIN SPECIFIED LIMITS OF SIZE AND IN COUNTRY DISTRICTS: 1890. 

















population: 1890. 
















Total. 










In cities having- 


- 










In country 
districts. 


STATE OB TERKITOBY. 


At least 2,500 
inhabitants. 


At least 100,000 
inhabitants. 


25,000 to 100,000 
inhabitants. 


8,000 to 25,000 
inhabitants. 


4,000 to 8,000 
inhabitants. 


2,500 to 4,000 
inhabitants. 




Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Per 
cent 
male. 


Per 

cent 

female. 


Continental United States 


51.2 


48.8 


50.0 


60.0 


60.0 


60.0 


60.0 


60.0 


50.2 


49.8 


49.8 


50.2 


50.0 


50.0 


,51.9 


48 1 








49.9 


50.1 


49.1 


50.9 


49.2 


50.8 


48.7 


61.3 


49.1 


60.9 


49.2 


50.8 


49.2 


50.8 


51.1 










49.2 


50.8 


48.6 


51.4 


48.5 


51.5 


48.1 


51.9 


48,5 


51.5 


49.2 


50.8 


49.4 


50.6 


50.8 










50.3 
49.5 
60.9 
48.6 
48.6 
49.5 

50.1 


49.7 
50.5 
49.1 
51.4 
51.4 
50.5 

49.9 


48.8 
48.1 
49.6 
48.4 
48,5 
49.3 

49.3 


51.2 
51.9 
50.4 
51.6 
51.5 
50.7 

50.7 






46.7 
46.0 


63.3 
55.0 


48,1 
48,6 
48.3 
48.4 
48.8 
48.7 

49.6 


51.9 
51.4 
51.7 
51.6 
53.2 
51.3 

50.4 


49.6 
48.2 
61.1 
49.0 
48.7 
49.4 

49.2 


50.4 
51.8 
48.9 
51.0 
51.3 
60.6 

50.8 


60.2 
60.1 
49.8 
48.7 
49.6 
49.7 

49.0 


49.8 
49.9 
50.2 
51.3 
50.4 
60.3 

51.0 


51.4 
.51.0 
51.3 
49.9 
.51.8 
50.0 

61.2 




New Hampshire 






49 












48.6 
48.1 


51.4 
51.9 


48.0 
47.7 
49.5 

49.2 


52.0 
52.3 
60.5 

60.8 


50 1 










Southern North Atlantic 


49.3 


60.7 


48.8 




49.6 
49.9 
60.7 

49.9 


60.4 
60.1 
49.3 

50.1 


49.0 
49.4 
49.9 

48.0 


51.0 
60.6 
60.1 

52.0 


49.2 
49.6 
49.6 

47.5 


50.8 
50.4 
50.5 

52.5 


48.4 
49.6 
49.8 

47.8 


61.6 
60.4 
50.2 

52.2 


48.3 
49.3 
61.3 

48.6 


51.7 
50.7 

48.7 

51.4 


48.9 
48.2 
49.7 

48.3 


61.1 
51.8 
50.3 

51.7 


47.7 
47.9 
50.0 

48.9 


62.3 
52.1 
60.0 

51.1 


50.9 
50.7 
51.5 

50.3 




New Jersey 


49 3 














Northern South Atlantic 


49.9 


50.1 


48.0 


52.0 


47.5 


52.6 


48.3 


51.7 


48.6 


51.5 


49.1 


60.9 


50.4 


49.6 


50.7 


49.3 


Delaware 


50.8 
49.6 
47.6 
49.8 
51.2 

49.9 


49.2 
50.5 
52.4 
60.2 

48.8 

50.1 


50.1 
47.6 
47.6 
48.2 
49.6 

47.9 


49.9 
62.4 
62.4 
51.8 
50.4 

62.1 






50.2 


49.8 






53.9 
60.0 


46.1 
50.0 


44.5 
61.7 


56.5 
48.3 


51.2 
51.1 


48 8 




47.4 
47.6 


62.6 
62.4 


46.9 


53.1 




District of Columbia 










47.2 
49.1 

47.2 


62.8 
60.9 

52.8 


48.7 
50.6 

48.7 


51.3 
49.4 

51.3 


48.1 
48.8 

47.7 


51.9 
51.2 

62.3 


50.2 
50.6 

47.8 


49.8 
49.5 

62.2 


.50.1 
51.4 

50.1 




West Virginia ... 






48 6 




















49.4 
49.7 
50.1 
51.6 

51.8 


60.6 
60.3 
49.9 
48.4 

48.2 


47.8 
47; 1 
47.5 
50.4 

60.8 


52.2 
52.9 
62.6 
49.6 

49.2 










48,7 
48.3 

47.8 
50.0 

50.7 


51.3 
51.7 
52.2 
60.0 

49.3 


46.4 
49.4 
47.2 
52.7 

49.8 


53.6 
50.6 
52.8 
47.3 

50.2 


47.6 
46.8 
47.4 
50.2 

49.7 


62.5 
53,2 
52.6 
49.8 

50.3 


49.5 
.50.0 
60,5 
,51.9 

52.4 




South Carolina 






46.6 
47.6 

61.3 


53.4 
52.6 

48.7 


50 










■ Florida 


61.2 


48.8 


48 1 












51.3 


48.7 


60.4 


49.6 


50.6 


49.4 


50.4 


49.6 


50.6 


49.4 


49.6 


50.4 


49.6 


50.4 


51.9 










50.5 
51.0 
51.5 
52.1 
51.9 

52.7 


49.6 
49.0 
48.6 
47.9 
48.1 

47.3 


49,7 
49.9 
61.0 
.50,7 
50,3 

51,7 


50.3 
50.1 
49.0 
49.3 
49.7 

48.3 


49.7 
49.6 
51.7 
49.2 
49.3 

52.5 


60.3 
50.4 
48.3 
50.8 
.50.7 

47.6 


50.4 
50.1 
50.2 
50.7 
60.0 

63.1 


49.0 
49.9 
49.8 
49.3 
50.0 

46.9 


49.8 
60.2 
50,1 
51,6 
51.5 

60.9 


50.2 
49.8 
49.9 
48.4 
48.5 

49.1 


48.9 
49.6 
48.9 
61.7 
50.2 

60,2 


51.1 
60.4 
51.1 
48. 3 
49.8 

49.8 


49.3 
49.3 
48.9 
60.8 
60.6 

49.9 


60.7 
50.7 
51.1 
49.2 
49.4 

60.1 


51.1 
51.4 
52.0 
62.9 
62.6 

53.0 




Indiana 


48 6 










Wisconsin 


47 4 


Western North Central 


47 






Minnesota 


53.4 
52.0 
51.7 
.55. 3 
54.5 
54.1 
52.7 

51.0 


46.6 
48.0 
48.3 
44.7 
45.5 
45.9 
47.3 

49.0 


63,2 
60.3 
61.0 
52.8 
63.2 
54.8 
60.4 

49.4 


46.8 
49.7 
49.0 
47.2 
46,8 
45.2 
49.6 

50.6 


52.8 


47.2 


63.3 
51.7 
52.2 


36.7 
48.3 
47.8 


51.2 
50.1 
60.4 


48.8 
49.9 
49.6 


50.6 
49.6 
50.1 
52.8 


49.4 
50.4 
49.9 
47.2 


51.9 
48.6 
49.6 


48.1 
51.4 
50.4 


.53.5 
52.5 
52.1 
55.5 
54.6 
53.8 
53.2 

61.3 

.50.6 


46 6 








51.2 


48.8 




North Dakota 


44 5 












65.0 
53.3 
50.2 

50.1 


45.0 
46.7 
49.8 

49.9 


52.1 
50.4 
49.8 

49.8 


47.9 
49.6 
60.2 

50.2 




Nebraska 


57.0 


43.0 


53.3 
51.4 

60.5 


46.7 
48.6 

49.5 


51.1 
50.2 

49.4 


48.9 
49.8 

50.6 


46 ''* 






South Central division 


47.6 


52.4 


48 7 






Eastern South Central 


50.4 


49.6 


48.9 


51.1 


48.8 


51.2 


49.6 


50.4 


48.3 


61.7 


48.6 


51.4 


49.1 


50.9 


49 4 






Kentucky 


60.7 
60.4 
50.1 
50.4 

51.8 


49.3 
49.6 
49.9 
49.6 

48.2 


48.8 
49.8 
48.9 
46.8 

60.0 


51.2 
50.2 
61.1 
53.2 

60.0 


48.8 


61.2 


48.3 
50.0 
49.2 


51.7 
50.0 
60.8 


48.6 
49.9 
47.5 
46.8 

52.3 


51.4 
60.1 
62.6 
53.2 

47.7 


48.8 
49.1 
48.5 
47.6 

60.8 


51.2 
50.9 
51.5 
52.4 

49.2 


50.2 
48.2 
50.6 
46.1 

50.4 


49.8 
61.8 
49.4 
63.9 

49.6 


51.2 
60.5 
,50.2 
50.6 

52. 2 


48 8 






Alabama 






49 8 


Mississippi 






49 4 


Western South Central 


46.9 


53.1 


52.0 


48.0 


47 8 








50.0 
51.9 
63.6 
.55.4 
52.5 

58.7 


60.0 
48.1 
46.4 
44.6 
47.5 

41.3 


47.2 
50.9 


52.8 
49.1 


46.9 


53.1 






49.5 
62.6 


50.5 
47.4 






48.7 
49.4 


61.3 
50.6 


.51.0 
.52. 
.53.6 
54.9 
52.6 

59.4 




Arkansas 


60.1 


49.9 


49.2 


60.8 


48 


Indian Territory 






46 4 




61.1 
51.9 

57.3 


38.9 
48.1 

42.7 














59.1 
5U.4 

56.2 


40.9 
49.6 

43.8 


64.2 
60.7 

68.3 


36.8 
49.3 

41.7 




Texas 






62.4 
.57.3 


47.6 
42.7 


62.9 
68.5 


47.1 
J1.5 




Western division 


66.8 


43.2 


40,6 






59.8 


40.2 


59.0 


41.0 


66.9 


43.1 






61.3 


38.7 


54.6 


45.4 


63.1 


36.9 


60.2 


39.8 










65. 2 
60.2 
04. 3 
.59.5 
53.9 

56.3 


34.8 
39.8 
36.7 
40.5 
46.1 

43.7 


64.4 


3.5.6 










63.1 


36.9 






66.6 


33.4 


65.4 
60.2 
66.3 
60.7 
51.0 

.5.5.9 






















60.7, 
58.0 
62.9 

65.1 


39.3 
42.0 
47.1 

44.9 










61.1 
60.3 


38.9 

:w.7 


56.3 
65.2 
51.1 

60.9 


43.7 
44.8 
48.9 

49.1 


67.5 
60.9 
56.8 

69.4 


32.6 
39.1 
44.2 

40.6 


33.7 




56.9 


43.1 






New Me.xico 






■16 


Basin and Plateau 






54.2 


45.8 


.56.3 


43.7 


44 1 










Arizona 


67.5 
53.1 
63.4 

.58.7 


42.5 
46.9 
36. G 

41.3 


57.5 
53,8 
69.9 

57.1 


42.5 
46.2 
40.1 

42.9 

^6.T 
39.4 
44.9 














64.4 
49.1 


46.6 
60.9 


62.5 
.54.1 
62.0 

55.2 


37.6 
45.9 
38.0 

44. 8 


.57.5 
52.8 
65,2 

,59. 9 


4"^ .5 


Utah 






.54.2 


4,5.8 


56.3 
5,8.0 

56.6 


14.7 
42.0 

43.4 










66.8 


43.2 


57.9 


42. 1 


67.7 


42.3 


40.1 






Washington 


62. 
57.8 
57.9 


38.0 
42.2 
42.1 


03.9 
60.6 
65.1 






63.1 
62.6 
52.8 


36.9 
37.4 
47.2 


66.6 
66.5 
54.0 


33.4 
44.6 
46.0 


65.7 
63.6 
.52.9 


34.3 
36.5 
47.1 


59.3 
56.1 
54. S 


40.7 
43. 9 
46.7 


61,0 
.56.8 
60.6 


39 


Oregon 






43 2 




56.8 


43.2 









40 

Table 7.— CLASSIFICATION, BY SEX, OF THE POPULATION LIVING IN CITIES WHICH HAD AT 





STATE OR TEEBITORT. 


population: 1900. 




Total. 


Male. 


Female. 


Living in cities having at least 2,,500 
inhabitants in 1900 and 1890. 


Living in cities having at least 
2,500 inhabitants in 1890 and in 
1900 haying— 




At least 100,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


1 




75, 994, 575 


38, 816, 448 


37,178,127 


28,911,820 


14,344,059 


14,567,761 


14, 208, 347 


7, 068, 570 


7,139,777 






■> 


21,046,695 


10, 524, 877 


10,521,818 


13,806,019 


6,803,758 


7,002,261 


7,533,280 


3, 728, 829 


3,804,451 




Ne'w Enerland 


s 


5,592,017 


2,763,796 


2, 828, 221 


4, 163, 547 


2, 036, 438 


2, 127, 109 


1,067,800 


523, 178 


544, 622 






4 


694, 466 
411,688 
343,641 
2,805,346 
428,556 
908,420 

15, 454, 678 


360, 995 
205, 379 
175, 138 
1,367,474 
210, 516 
464, 294 

7,761,081 


343, 471 
206,209 
168, 503 
1,437,872 
218, 040 
454,126 

7,693,597 


282, 879 
217,894 
88,429 
2, 552, 181 
386,057 
636, 107 

9, 642, 472 


136, 674 
105, 116 
43, 101 
1, 245, 985 
188,808 
316, 754 

4,767,320 


146, 205 
112, 778 
45, 328 
1, 306, 196 
197, 249 
319,363 

4,876,152 








li 










fi 










7 




784, 176 
176,697 
108, 027 

6, 465, 480 


384, 264 
86,072 
53,842 

3, 205, 661 


399, 912 
90, 525 
64,185 

3,269,829 


S 




q 




in 


Soutbern Nortli Atlantic 




New York 


1 


7,268,894 
1, 883, 669 
6,302,115 

10,443,480 


3,614,780 

941,760 

3,204,541 

5,222,595 


3,654,114 

941,909 

3,097,574 

5, 220, 885 


5,228,444 
1,171,889 
3,242,139 

2,094,127 


2,572,545 

580, 628 

1, 614, 147 

999,489 


2,655,899 

691,261 

1,627,992 

1,094,638 


4, 060, 571 

557,674 

1,847,235 

787,675 


2, 010, 694 
276,943 
918, 014 

375,284 


2, 049, 877 
280, 731 
929,221 

412,391 


■2 




3 




+ 






Northern South Atlantic 


S 


4,464,481 


2,240,576 


2,223,905 


1, 379, 685 


663,203 


716,482 


787,675 


375, 284 


412, 391 




Delaware 


(i 


184,735 
1,188,044 

278, 718 
1,8.54,184 

958,800 

5,978,999 


94, 158 
589,275 
132,004 
925,897 
499,242 

2,982,019 


90,577 
698, 769 
146,714 
928, 287 
459,558 

2,996,980 


83, 217 
685,499 
278, 718 
327,748 
104,603 

714, 442 


41,641 
280,452 
132, 004 
157, 466 

51, 660 

336, 286 


41,576 
305, 047 
146,714 
170, 292 

52,863 

378, 156 








7 




508, 957 
278, 718 


243, 280 
132,004 


265; 677 
146, 714 


S 




9 




W 










n 


Southern South Atlantic 


















22 


1,893,810 

1,340,316 

2,216,331 

528,512 

26, 333, 004 


938, 677 

664,895 

1, 103, 201 

276,246 

13,589,322 


955,133 

676, 421 

1,113,130 

253, 296 

12, 743, 682 


149,790 
142,858 
318, 776 
103,018 

9,565,507 


70, 312 

67,036 

148, 191 

60,747 

4,790,425 


79,478 

75,822 

170,585 

62,271 

4,775,082 








23 


South Carolina 








24 










25 


Florida 








26 


\orth Central division 


4,714,117 


2,374,597 


2,339,620 




Eastern North Central 


27 


15,985,581 


8, 177, 308 


7,808,273 


6, 834, .506 


3,408,293 


3, 426, 213 


3,403,810 


1,705,370 


1,698,440 




Ohio 


28 


4,157,545 
2,516,462 
4,821,550 
2,420,982 
2,069,042 

10, 347, 423 


2, 102, 655 
1,28.5,404 
2, 472, 782 
1,248,905 
1,067, .562 

5,412,014 


2,0.54,890 
1,231,068 
2,348,768 
1,172,077 
1,001,480 

4,936,409 


1,919,784 
785, 630 

2,472,686 
908, 968 
747,439 

2,731,001 


962, 773 
388, 528 
1,247,081 
449, 193 
370, 718 

1,382,132 


967,011 
397, 102 
1, 226, 604 
459, 775 
376, 721 

1, 348, 869 


966,052 
169, 104 
1,698,575 
285, 704 
285, 315 

1,310,307 


478,661 
83, 523 
863,408 
139, 242 
140,636 

669,227 


4.86, 391 
86, 641 
835, 167 
146, 462 
144,779 

641,080 


29 




10 


Illinois 


a 




12 


Wisconsin 


J3 


Western North Central 






J4 


1,751,394 
2,231,853 
3, 106, 665 
319, 146 
401,570 
1,066,300 
1,470,495 

14, 080, 047 


932, 490 
1,156,849 
1, 595, 710 
177,493 
216, 164 
564,592 
768, 716 

7,181,922 


818,904 
1,075,004 
1,510,955 
141, 653 
185,406 
501,708 
701,779 

6,898,125 


560, 339 

497, 333 

1,098,914 

17, 241 

30,833 

238,885 

297,456 

1,946,307 


283, 876 
246, 782 
654, 706 
8,759 
16, 214 
126,408 
147,387 

946, 928 


266, 463 
261,661 
844, 208 
8,482 
14, 619 
113,477 
150, 069 

999,379 


365,783 


187,527 


178,256 


io 




i6 




841,969 


427,607 


414,362 


i7 


North Dakota 


i8 


South Dakota 








J9 


Nebraska 


102, 655 


64, 093 


48,462 


40 


Kansas 


Jl 




594,165 


287,883 


306, 272 




Eastern South Central 


)2 


7, 547, 757 


3, 809. 666 


3,738,091 


1,016,745 


491,674 


626, 071 


307,051 


151,815 


156,236 






13 


2, 147, 174 
2,020,616 
1, 828. 697 
l,55i;270 

6,. 532, 290 


1,090,227 

1,021,224 

916, 764 

781, 451 

3,372,266 


1,0.56,947 
999, 392 
911,933 
769,819 

3,160,034 


442, 783 

299, 795 

187,001 

87, 106 

928,562 


214, 290 
147, 283 
89, 891 
40,210 

454,264 


228, 493 
152,512 
97, 110 
46,956 

474,308 


204, 731 
102,320 


99,531 

62, 284 


106,200 
50, 036 


i4 


Tennessee 


lb 


Alabama 


46 


Mississippi 








47 


Western South Central 


287,104 


136, 068 


151,036 




Louisiana 


48 


1,381,625 

1, 311, 564 

392,060 

398,331 

3,048,710 

4,091,349 


694.733 
676,312 
208, 9.52 
214,3.59 
1,578,900 

2,297,732 


6.86,892 
636, 252 
183, 108 
183, 972 
1,469,810 

1,793,617 


346, 6.52 
92, 300 


166, 192 
46, 362 


181,460 
46, 938 


287,104 


136, 068 


151,036 


[9 


Arkansas 


DO 


Indian Territory 








3l 


Oklahoma 


20, 043 
469,567 

1,500,860 


10, 771 
232,929 

804,459 


9, 272 
236,638 

696,401 








W 


Texas 






... 


■iS 




579, 120 


301,977 


277,143 






M 


1,232,642 


700, 963 


531,689 


332,433 


176,845 


155,588 


133,859 


66,592 


67, 267 




Montana 


^5 


243, 329 
161,772 
92, 531 
.539,700 
195,310 

442, 015 


149,842 
93, 367 
68,184 
295, 332 
104,228 

239,085 


93,487 
68, 405 
34,347 
244,368 
91,082 

202,930 


72, 767 


42,670 


30, 197 








% 










W 


Wyoming 


26, 657 
221,168 
11,841 

108,931 


15, 206 

112,859 

6,210 

54, 130 


11,451 

108, 309 

5,631 

54,801 








nS 




133,859 


66,592 


67, 267 


W 


New Mexico 


60 


Basin and Plateau 








61 


Arizona 


122,931 

276, 749 

42,335 

2, 416, 692 

518, 103 

413,536 

1,485,063 


71,795 
141,687 
25,603 

1,357,694 


51,136 

135, 062 

16, 732 

1, 058, 998 


13, 075 

88, 661 
7,195 

1,059,496 


6,929 

43, 306 

3,896 

673,484 


6,146 
45, 366 
3,299 

486, 012 








m 


Utah 








63 


Nevada 








6'l 


Pacific 


446, 261 


235,385 


209,876 




Washington 


fifi 


304, 178 
232,985 
820,531 


213,925 
180,651 
664,522 


186, 776 
•123,052 
749,668 


112, 061 
71,696 
389, 727 


74,715 

51,356 

359,941 








66 


Oregon 








67 


California 


445, 261 


235,385 


209, 876 







41 



LEAST 2,500 INHABITANTS IN 1890 AND WERE WITHIN SPECIFIED LIMITS OF SIZE IN 1900: 1900. 



population: 1900— continued. 




Living in cities having at least 2,500 inhabitants in 1890 and in 1900 having— 


Living outside of cities having 
at least 2,600 inhabitants in 
1900 and 1890. 




25,000 to 100,000 inhabitants. 


8,000 to 25,000 inhabitants. 


4,000 to 8,000 inhabitants. 


2,600 to 4,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 




5, 509, 965 


2,742,328 


2,767,637 


6, 126, 990 


2,534,271 


2,592,719 


2, 986, 131 


1,468,586 


1, 517, 545 


1,080,387 


530,304 


660,083 


47,082,765 


24,472,389 


22,610,366 


1 


2,565,416 


1, 254, 503 


1,310,913 


2,131,627 


1,045,434 


1,086,193 


1,139,736 


600,992 


578,744 


435,960 


214,000 


221,960 


7,240,676 


3,721,119 


3,519,557 


2 


1,250,258 


605, f 39 


644, 419 


1,001,447 


491,225 


510,222 


598, 902 


293, 595 


305, 307 


245,140 


122, 601 


122,539 


1, 428, 470 


727,358 


701,112 


3 


50, 145 
56, 987 


23, 714 
26,603 


26, 431 
30,384 


114,494 
101,933 

38, 587 
507,402 

86, 693 
152, 338 

1,130,180 


54,643 
49, 700 
18, 784 
250, 599 
43,304 
74,195 

554,209 


59,851 
52,233 
19, 80S 
256.803 
43, 389 
78, 143 

575, 971 


82,667 
33,320 
33, 461 
305,371 
44, 617 
99,466 

640,834 


40, 650 
16,000 
16, 0-52 
149,611 
21,980 
49, 302 

267, 397 


42,017 
17,320 
17, 409 
165, 760 
22, 637 
50, 164 

273,437 


35,573 
25,654 
16,381 
102, 244 
11, 715 
63, 573 

190, 820 


17, 667 
12,813 

8,265 
61,046 

5,886 
26,925 

91, 399 


17,906 
12,841 

8,116 
61, 199 

5,829 
26,648 

99,421 


411,687 
193,694 
255,212 
253,165 
42,499 
272, 313 

5,812,206 


214, 321 
100,263 
132,037 
121,489 
21,708 
137,540 

2, 993, 761 


197,266 
93,431 

123,175 

131, 676 
20,791 

134, 773 

2,818,416 


4 

6 


852, 988 

67,435 

222,703 

1,315,158 


410, 466 
32, 566 
112,490 

648, 664 


442, 522 

34,869 

110, 213 

666,494 


7 
i 
c 

IC 


396,462 
349, 073 
569, 623 

514, 853 


191,734 
174, 759 
282, 171 

244,870 


204, 728 
174,314 
287,452 

269,983 


523,009 
167,128 
440, 043 

475, 098 


249, 696 
81,858 
222, 655 

228, 302 


273,313 
85,270 
217, 388 

246, 796 


185,778 

70, 786 

284, 270 

230, 450 


91,149 
33,905 
142, 343 

109,373 


94, 629 
36,881 
141, 927 

121,077 


62, 624 
27,228 
100,968 

86,051 


29,272 
13, 163 
48, 964 

41,660 


33,352 
14,065 
52,004 

44,391 


2,040,450 

711,780 

3,059,976 

8,349,363 


1,042,235 

361,132 

1,590,394 

4,223,106 


998,216 

350,648 

1,469,582 

4,126,247 


11 

i: 
la 

14 


247,060 


120,034 


127, 026 


223,286 


108,661 


114, 625 


75, 969 


36,956 


39,013 


45, 695 


22,268 


23,427 


3,084,796 


1,577,373 


1,507,423 


It 


76, 508 


38, 383 


38, 125 














6,709 
12,704 


3,258 
6,151 


3,451 
6,553 


101, 518 
602,545 


52,517 
308,823 


49,001 
293,722 


If 


48,540 


23, 609 


24,931 


15,298 


7,412 


7,886 


r 








1.' 


131,674 
38,878 

267, 793 


62, 640 
19,011 

124,836 


69, 034 
19,867 

142,957 


140,021 
34, 725 

251,812 


68,260 
IB, 792 

119, 641 


71,761 
17,933 

132,171 


33,534 
27, 137 

154,481 


15,592 
13,952 

72,417 


17,942 
13,185 

82,064 


22,519 
3,763 

40,356 


10,964 
1, 895 

19,392 


11,565 
1,868 

20,964 


1,526,436 
854,297 

5,264,567 


768,441 
447,592 

2,645,733 


757,996 
406,706 

2,618,824 


i< 

2( 
2] 








96, .537 
44, 363 
60,212 
50, 700 

1,915,258 


45,270 
21,318 
27, 682 
25, 371 

954,159 


51,267 
23,045 
:32, 530 
25,329 

961,099 


42,603 

42,688 

64, 918 

4,272 

1,171,472 


20,087 

20, 126 

30,232 

1,972 

576,823 


22,516 

22, 562 

34,686 

2,300 

594,649 


10,650 


4,955 


5,695 


1, 744, 020 

1,197,468 

1, 897, 655 

425, 624 

16,767,497 


868,365 
597, 859 
956,010 
224, 499 

8,798,897 


875, 655 
699, 599 
942,646 
201,025 

7,968,600 


2' 


55,807 
183, 557 
28,429 

1, 383, 767 


25,592 
85, 527 
13,717 

699,009 


30, 215 
98,030 
14,712 

684,758 


?.: 


10, 089 
19,617 

380,893 


4, 7.50 
9,687 

185,837 


5,339 
9,930 

195,066 


2' 

a. 

2( 


935,320 


466, 608 


468, 712 


1,490,046 


742, 832 


747,214 


762, 597 


375,251 


387,346 


242,733 


118, 232 


124,501 


9,151,075 


4, 769, 015 


4,382,060 


2 


241,866 
176, 794 
216,570 
182, 718 
117, 372 

448,447 


121, .507 
86, 960 

109, 325 
88,906 
59, 910 

232,401 


120, 3-59 
89, 834 

107,245 
93,812 
57,462 

216, 046 


392, 922 
248,926 
337,536 
278, 912 
231,750 

425, 212 


195, 614 
124,295 
166,756 
140, 844 
11.5,323 

211,327 


197,308 
124, 631 
170, 780 
138,068 
116, 427 

213,885 


237,663 
149, 440 
169,091 
130, 777 
75,626 

408, 875 


116,523 
73, 604 
83, 097 
64,871 
87, 156 

201, 572 


121,140 
75, 836 
85,994 
66, 906 
38,470 

207, 303 


82,281 
41,306 
50,913 
30,857 
37, 376 

138,160 


40, 468 
20, 146 
24,495 
15, 330 
17, 793 

67, 605 


41,813 
21,160 
26,418 
15, 527 
19, .583 

70,5.55 


2,237,761 
1,730,832 
2, 348, 866 
1,612,014 
1,321,603 

7.616,422 


1, 149, 882 
896, 876 

1,226,701 
799, 712 
696, 844 

4,029,882 


1,087,879 
833,956 

1,123,164 
712,302 
624,769 

3,686,540 


2i 
2 
3( 
3 
3! 

3; 


52, 969 

218,259 

26,023 


29,884 

109, 323 

13,773 


23, 085 

108,936 

12,250 


51,294 
1.56,466 
87,571 
9,589 
10,266 


26, 003 
77, 405 
43,737 
4,907 
5,306 


25, 291 
79,061 
43,834 
4,682 
4,960 


66, 431 
76, 612 
124, 130 
7,652 
14,422 
52,968 
66, 660 

293,401 


33,456 
36, 977 
60, 320 
3,852 
7,727 
26,098 
33, 142 

142,020 


32,975 
39,635 
63,810 
3,800 
6,695 
26,870 
33,518 

151,381 


13,862 
45, 996 
19, 221 


7,006 

22,077 

9,269 


6,866 

23, 919 

9,952 


1,201,0.55 

1,734,520 

2,007,751 

301,905 

370, 737 

827, 415 

1,173,039 

12,134,740 


648,614 
911,067 
1,041,004 
168, 734 
199, 950 
■139,184 
621,329 

6,235,994 


552,441 
823, 453 
966, 747 
133, 171 
170,787 
388,231 
561, 710 

5,898,746 


3- 
3i 
3 
3 








6,145 
17,192 
35,744 

94,675 


3,181 
8,620- 
17,462 

44,954 


2, 964 
8,672 
18,292 

49,621 


R 


66, 170 
85,026 

591,870 


36,597 
42, 824 

288,860 


29,573 
42, 202 

303,010 


3< 


110,026 
371,306 


53, 969 
182,211 


56, 057 
189,095 


4( 

4] 


348,494 


167,252 


181,242 


152,132 


72,784 


79, 348 


152,694 


73,296 


79,398 


66, 374 


26,527 


29, 847 


6,631,012 


3,317,992 


3,213,020 


4: 


97,608 
143,656 
107,230 


46,426 
69,269 
51,557 


51, 182 
74,387 
.55, 073 


60, 620 
23,942 
26, 476 
41,094 

219,174 


30,042 
11,477 
12, 358 
18,907 

109,427 


30,578 
12,465 
14,118 
22, 187 

109,747 


60, 687 
15,968 
43, 686 
32,353 

140,707 


29,207 
7,802 
21,271 
15, 016 

68,724 


31,480 

8,160 

22,415 

17,337 

71,983 


19,137 

13, 909 

9,609 

13, 719 

38,201 


9,084 
6,4.51 
4,705 
6,287 

18,427 


10,053 
7,458 
4,904 
7,432 

19,774 


1,704,391 
1,720,821 
1,641,696 
1,464,104 

5,603,728 


875,937 
873,941 
826,873 
741,241 

2,918,002 


828,454 
846,880 
814,823 
722,803 

2,685,726 


4; 

4> 
4( 


243,376 


121,608 


121,768 


4 








27,282 
33,056 


13, 575 
16,046 


13,707 
17, 010 


28,676 
14,525 


13,812 
7,188 


14,864 
7,337 


3,590 
6,412 


1,7:57 
2,867 


1,853 
3,555 


1,034,973 

1, 219, 264 

392,060 

378,288 

2,579,143 

2,690,489 


529,641 
629, 950 
208,9.52 
203, 588 
1,345,971 

1,493,273 


605, 432 
589,314 
183, 108 
174,700 
1,233,172 

1,097,216 


4J 


38, 307 


19,271 


19,036 


4< 
5( 








20,043 
138,793 

233,701 


10,771 
69,035 

124, 165 


9,272 
69,758 

109, .530 














5 


205, 069 
454, 059 


102,337 
255,086 


102, 732 
198, 973 


97, 606 
1.51, 072 


47, 724 
79, 378 


49,782 
71,694 


28,199 
82,908 


13,833 
43,863 


14,366 
39,055 


5' 
5- 


58,627 


33,521 


25, 106 


90,987 


60, 465 


40,522 


32,065 


17,013 


15,052 


16,895 


9,254 


7,641 


900,209 


524,108 


376,101 


6- 


30,470 


18,171 


12,299 


35,153 


20,353 


14,800 


4,366 


2,398 


1,968 


2,778 


1,648 


1,130 


170,562 
161,772 
05,874 
318,532 
183,469 

333,084 


107, 272 
93,367 
42, 978 

182,473 
98,018 

184,955 


63,290 
68,405 
22,896 
136,059 
85,451 

118,129 


51 
5 








22,294 
33,540 


12, 422 
17, 690 


9,872 
15,850 


4,:363 
11,495 
11,841 

29,211 


2,784 
5,621 
6,210 

14,996 


1,579 
5,874 
6,631 

14,215 








5 


28, 157 


15,350 


12,807 


14,117 


7,606 


6,511 


6 


53,531 


25,849 


27, 682 


16,313 


8,190 


8,123 


. 9,876 


5,095 


4,781 


6 














13,075 
11,636 
4,500 

89,796 


6,929 
5,573 
2,494 

47,369 


6,146 
0,063 
2,006 

42,427 








109,856 
188, 088 
35, 140 

1,357,196 


64,866 
98,382 
21,707 

784,210 


44,990 
89,706 
13,433 

572, 986 


6 


53,531 


25,849 


27, 682 


16,313 


8,190 


8,123 


7,181 
2,695 

56,137 


3,693 
1,402 

29,504 


3,488 
1,293 

26,633 


6' 
6 


341,901 


195,716 


146, 185 


126,401 


65,510 


60,891 


6 


155, 233 
90, 426 
96,242 


93,920 
53, 128 
48,668 


61,313 
37,298 
47,674 


10,049 

8,381 

107,971 


6,359 
6,327 
53,824 


3,690 
3,054 
64,147 


11,062 
11,069 
67,665 


6,109 

6,314 

34,946 


4,9.53 

4,756 

32,719 


10,432 
13, 176 
32,529 


5,673 
6,927 
16,904 


4,759 
6,249 
15,626 


331,327 
290,484 
735,386 


192,117 
161,289 
430,804 


139,210 
129, 195 
304,. 581 


6 
6 
6 



42 ; 

Table 8.— CLASSIFICATION, BY SEX, OF THE POPULATION LIVING IN CITIES WHICH HAD AT 





STATE OR TERRITORY. 


population: 1890. 




Total. 


Male. 


Female. 


Living in cities having at least 
2,600 inhabitants in 1900 and 1890. 


Living in cities having at least 
2. .500 inhabitants in 1890 and in 
1900 having— 




At least 100,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


1 




62, 947, 714 


32,237,101 


30, 710, 613 


22, 364, 212 


11, 182, 584 


11, 181, 628 


10, 702, 584 


5,356,048 


.5, 346, 536 


Nnrth Atlantip division 




17,406,969 


8,680,657 


8,726,312 


10,687,043 


5, 249, 294 


6, 437, 749 


5,695,354 


2, 809, 012 


2,886,342 


- 




3 


4, 700, 749 


2, 313, 759 


2,386,990 


3,299,103 


1, 602, 518 


1,696,586 


820,974 


399,769 


421,205 




4 
6 
6 
7 
8 

y 


601,086 
376,530 
332, 422 
2,238,947 
345, 506 
746, 258 

12, 706, 220 


332, 590 
186, 566 
169, 327 
1,087,713 
168, 025 
369,538 

6,366,898 


328, 496 
189, 964 
163,095 
1.151,234 
177,481 
376,720 

0,339,322 


254,431 
174, 863 
72,170 
1,980,784 
322,337 
494, 518 

7, 387, 940 


123,948 
83, 713 
35, 809 
969,173 
156, 175 
243,700 

3,646,776 


130,483 
91,150 
36,361 
1,021,611 
166, 162 
250,818 

3,741,164 


























607, 530 
132, 146 
81,298 

4,874,380 


295,763 
63,569 
40, 437 

2,409,243 


311, 767 
68,577 
40,861 

2, 465, 137 










New York 




6,003,174 
1, 444, 933 
5,268,113 

8,8.57,922 


2,979,690 

720, 819 

2,666,389 

4,418,771 


3,023,484 

724. 114 

2,591,724 

4,439,151 


3,980,302 

879,619 

2,528,019 

1,709,462 


1,952,092 

434, 609 

1,260,176 

819,705 


2,028,210 

445, 110 

1,267,844 

889,767 


2,985,117 

423, 180 

1,466,083 

664,831 


1,473,363 
209,301 
726, 679 

316, 698 


1,611,754 
213,879 
739,-504 

349, 183 














^ 


Northern South Atlantic 


. 


3,860,049 


1,925,411 


1,934,638 


1,151,986 


552,754 


599,232 


664,831 


316, 698 


349,133 








168, 493 
1, 042, 390 

230, 392 
1, 655, 980 

762, 794 

4,997,873 


85, 573 
515,691 
109,584 
824,278 
390, 285 

2,493,360 


82, 920 
526, 699 
120, 808 
831,702 
372, 509 

2,504,513 


68, 602 
495,702 
230. 392 
276,026 

81,365 

557,476 


34,337 
235,468 
109, 584 
133, 010 

40, 365 

266, 951 


34, 165 
260,244 
120,808 
143,015 

41,000 

290, 525 










Maryland 


434,439 
230, 392 


206, 114 
109,584 


228, 325 
120,808 






9 




Wpst Virffinift 




























_^ 


1,617,949 

1,151,149 

1,837,353 

391,422 

22,410,417 


799, 151 
572, 337 
919,925 
201,947 

11,618,590 


818, 798 
578, 812 
917, 428 
189, 175 

10,791,827 


112,852 

112, 650 

267,472 

74, 502 

7, 323, 945 


63, 929 

53, 190 

122, 293 

37, 539 

3,719,435 


58, 923 
69, 460 
135,179 
36, 963 

3, 604, 610 






































6 




3,418,631 


1,760,003 


1, 068, 628 






13,478,305 


6,916.423 


6,561,882 


5,042,747 


2,539,219 


2,503,528 


2,313,475 


1,186,210 


1,167,265 








3,672,329 
2,192,404 
3, 826, 352 
2,093,890 
1,693,330 

8, 932, 112 


1, 855, 748 
1,118,347 
1,972,309 
1,091,781 
878, 238 

4, 702, 167 


1,816,581 
1,074,057 
1,854,043 
1, 002, 109 
815,092 

4,229,945 


1,487,140 
683, 991 

1,697,247 
716, 837 
657,532 

2,281,198 


739, 590 
290, 918 
865, .533 
362, 870 
280, 308 

1, 180, 216 


747, 550 
293, 073 
831, 714 
353,967 
277,224 

1, 100, 982 


727,845 
105, 436 
1,099,850 
205,876 
204, 468 

1,076,156 

297,894 


363, 434 
52,303 
668,402 
101,298 
100, 773 

563,793 


364,411 
53, 133 
531,448 
104,578 
103, 695 

511,363 




Indiana 
























1,310,283 
1,912,297 
2, 679, 185 
190,983 
348, 600 
1,062,6.56 
1,428,108 

11,170,137 


699,355 
994, 667 
1,385,239 
105, 639 
189,913 
574, 707 
752, 647 

5,699,424 


610, 928 
917, 630 
1,293,946 
85,344 
158, 687 
487, 949 
675, 461 

5,470,713 


439, 681 
399, 966 
846,862 
10, 643 
25,320 
291,641 
267, 086 

1, 522, 488 


233, 489 
201, 452 
431,701 
5,617 
13,400 
159, 865 
134,692 

751,992 


206, 192 
198,513 
416, 161 
5,026 
11, 920 
131, 776 
132, 394 

770, 496 


157,204 


140, 690 




Iowa 






636,810 


326, 481 


310, 329 




North Dakota 




South Dakota .... 












140,462 


80,108 


60,344 










467,663 


224,667 


243,096 








6,429,154 


3, 241, 635 


3, 187, 619 


811,891 


396, 962 


414,929 


226, 624 

161, 129 
64, 495 


111,100 


114,524 






3 


1,858,635 
1,767,518 
1,. 513, 401 
1,289,600 

4, 740, 983 


942, 758 
891,585 
757, 605 
649,687 

2,457,789 


916, 877 
875,933 
765,796 
639,913 

2,283,194 


356,713 

235,675 

149,537 

69, 966 

710,597 


174, 119 

117, 177 

72, 932 

32,734 

365,030 


182,694 
118,498 
76,605 
37,232 

365, 567 


i 78, 612 
32,488 


82,617 
32, 007 


4 


Tennessee 


h 




.6 


Mississippi . 








t7 


Western Soutii Central . 


242, 039 


113,467 


128, 572 




Louisiana . . . . . 


:S 


1,118,588 

1, 128, 211 

180, 182 

78, 475 

2, 236, 527 

3,102,269 


659,351 

585, 7X7 

96,586 

43, 509 

1,172,656 

1,819,659 


559,237 

542, 424 

83, 596 

34, 966 

1,062,971 

1,282,610 


283,845 
73, 159 


133, 979 
37,248 


149, 866 
35, 911 


242,039 


113,467 


128,672 


19 




in 










M 


Oklahoma 


6,939 
346, 654 

1,121,274 


4,243 
179, 660 

642,158 


2,696 
167, 094 

479, 116 








V2 


Texas 








ia 




456, 105 


256,768 


199, 337 




Rockv Mountain 


i4 


867, 558 


618,882 


348, 676 


246,134 


144,366 


100,768 


'. 106,713 


60,744 


45,969 






55 


142,924 

88,548 

62,655 

413, 249 

160,282 

346,377 

88,243 
210,779 
47,355 

1,888,334 


93, 117 
53, 346 
40,2.53 
245, 765 
86, 401 

192, 749 
• 


49, 807 
35,202 
22, 302 
167,484 
73,881 

153,628 


38,787 


24, 982 


13,805 








56 


Idaho 








57 




21, 484 

174,893 

9,970 

95,531 


13, 041 

101,070 

.5,273 

52, 183 


8.443 
73,823 
4,697 

43,348 








58 


Colorado 


106, 713 


60, 744 


45,969 


59 




60 


Basin and Plateau 










Arizona 








61 


50,743 
111, 975 
30, 031 

1, 108, 028 


37, 500 
98, 804 
17,324 

780, 306 


8,302 
76,155 
12, 074 

780,609 


4,772 

40,413 

6,998 

445, 609 


3,530 

34,742 

5,076 

335, 000 








62 


Utah 








63 


Nevada 








R4 


Pacific 


349, 392 


196,024 


153,368 




Washington 


65 


357,232 

317,704 

1, 213, 398 


221, 666 
183,683 
702, 779 


135,666 
134,021 
610,619 


124,410 
69, 432 
586, 767 


79, 620 
42, 759 
323,230 


44,790 

26,673 

263, 537 


1 






66 


Oregon 








67 




j 349, 392 


196,024 


153, 368 







43 

LEAST 2,500 INHABITANTS IN 1890 AND WERE WITHIN SPECIFIED LIMITS OF SIZE IN 1900: 1890. 



population: 1890— continued. 




Living in cities having at least 2,500 inhabitants in 1890 and in 1900 having— 


Living outside of cities having 
at least 2, 5(H) inhabitants in 
1900 and 1890. 




25,000 to 100,000 inhabitants. 


8,000 to 25,000 inhabitants. 


4,000 to 8,000 inhabitants. 


2,500 to 4,000 inhabitants. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 




4,177,671 


2, 101, 540 


2, 076, 131 


4,025,149 


2,007,671 


2, 017, 478 


2, 452, 975 


1,216,758 


1,236,217 


1,005,833 


500, 567 


505,266 


40,583,502 


21,054,517 


19, 528, 985 


1 


1,904,671 


927,744 


976,927 


1,696,271 


828,784 


867,487 


978,522 


481,711 


496, 811 


412,225 


202,043 


210,182 


6,719,926 


3,431,363 


3,288,563 


2 


918, 043 


440,740 


477,303 


797,283 


385, 887 


411,396 


528, 572 


259,774 


268,798 


234,231 


116, 348 


117,883 


1,401,646 


711,241 


690, 405 


3 


36,425 
44, 126 


16,994 
19,864 


19,431 
24, 262 


101,028 
80,888 
26,975 

375,665 
82,184 

130,543 

898,988 


48, 646 
39,529 
13,435 
180, 338 
40,469 
63, 470 

442,897 


52, 382 
41,359 
13,540 
195,327 
41,715 
67,073 

456,091 


78,841 
27,269 
27, 775 
261,259 
47,542 
85, 886 

449, 950 


39, 346 
13,054 
13,518 
128,334 
23, 227 
42, 295 

221, 937 


39,495 
14,215 
14,257 
132, 925 
24,315 
43,591 

228,013 


38,137 
22,580 
17,420 
94,562 
12,002 
49,530 

177,994 


18, 962 
11,266 

8,856 
46, 591 

5,973 
24,700 

85, 695 


19, 175 
11,314 

8,564 
47, 971 

6,029 
24,830 

92, 299 


406, 655 
201,667 
260,262 
268,163 
23,169 
251,740 

5, 318, 280 


208,642 
102,853 
133,518 
128,540 
11, 850 
125,838 

2. 720, 122 


198, 013 
98,814 

126, 734 

129,623 
11,319 

125, 902 

2,598,158 


4 
5 


641,768 
48,463 
147, 261 

986,628 


308,147 
22,937 
72,798 

487,004 


333,621 
25, 526 
74,463 

499,624 


7 
8 
9 

10 


343,577 
242, 299 
400, 752 

426, 390 


165,668 
121, 332 
200, 104 

203,999 


178,009 
120,967 
200, 648 

222,391 


425,180 
128,668 
345, 140 

369, 774 


203, 616 

62, 937 

176,344 

180,886 


221,564 
65,731 
168,796 

188,888 


162,857 
61 , 001 
226,092 

170,859 


79, 574 
28,972 
113,391 

80, 757 


83,283 
32, 029 
112, 701 

90, 102 


63,571 
24, 471 
89,952 

77, 608 


29,971 
11,967 
43,757 

38,365 


33, 600 
12, .504 
46, 196 

39,243 


2,022,872 

565,314 

2, 730, 094 

7, 148, 460 


1, 027, 598 995, 274 

286,310 ' 279,004 

1,406,214 1,323,880 

3, 599, 066 3, 549, 394 


11 
12 
13 

14 


212,212 


102,596 


109, 616 


174,057 


85,431 


88,626 


59,007 


27,975 


31,032 


41,879 


21,054 


20,825 


2,708,063 


1,372,657 1,335,406 


16 


61,431 


30,814 


30,617 














7,071 
11,718 


3,523 
5,623 


3,548 
6,095 


99,991 

546,688 


51, 236 48- 7.55 




38,644 


18, 455 


20,189 


10,901 


5, 266 


5,635 


280,233 


266, 455 


17 










116, 259 
34, 622 

214, 178 


54,843 
16, 939 

101, 403 


61,416 

17,583 

112,775 


110, 155 
25,268 

195,717 


54,291 

12, 685 

95,455 


65,864 
12, 673 

100,262 


29,091 
19, 015 

111,852 


13, 368 
9,341 

62, 782 


15,723 
9,674 

59,070 


20,520 
2, 570 

35,729 


10,508 
1,400 

17,311 


10, 012 
1,170 

18,418 


1,379,955 
681,429 

4,440,397 


691, 268 
349,920 

2, 226, 409 


688, 687 
331,509 

2, 213, 988 


19 
20 

21 








73,704 
29,504 
57, 147 
35,362 

1,508,187 


35,617 
14,305 
27,312 
18, 221 

761,069 


38,087 
15, 199 
29,835 
17, 141 

747,118 


29,277 
28,191 
49,642 

4, 742 

977,335 


13, 677 

13,280 

23, 601 

2,324 

486,222 


1,5,600 

14, 911 

26, 141 

2,418 

492,113 


9,871 


4,635 


5,236 


1,505,097 

1,038,499 

1,579,881 

316,920 

15,086,472 


745,222 
519, 147 
797, 632 
164,408 

7,899,155 


759,875 
519,352 
782, 249 
152,512 

7,187,317 


oo 


54,955 

142, 022 

17,201 

1,074,141 


25,605 
67, 395 
8,403 

552,757 


29, 350 

74,627 

8,798 

621,384 


o^ 


8,661 
17, 197 

345, 651 


4,085 
8,691 

170,384 


4, 576 
8,606 

175,267 


24 
25 

26 


713,968 


361, 520 


352,448 


1,149,963 


580,357 


.569,606 


614,896 


303,088 


311,808 


220,445 


108,044 


112,401 


8,435,558 


4,377,204 


4, 058, 364 


27 


180, 125 
138, 185 
159, 498 
155,237 
80,923 

360,173 


90,283 
69,401 
81, 198 
78,598 
42,040 

191,237 


89,842 
68,784 
78, 300 
76, 639 
38,883 

168,936 


305, 618 
186,681 
261, 835 
222, 412 
174,417 

358,224 


152,038 
93, 504 
129, 713 
116,191 
88,911 

180,712 


153, 580 
92, 177 
132, 122 
106,221 
85, 606 

177, 612 


198, 969 
117,063 
128,157 
107,069 
63,638 

362,439 


97,046 
57, 198 
62,998 
63,622 
32, 224 

182,134 


101,923 
59, 865 
65, 159 
63,447 
31,414 

180,305 


74,583 
37,626 
47, 907 
26,243 
34,086 

125,206 


36,789 
18,512 
23,222 
13, 161 
16,360 

62,340 


37,794 
19, 114 
24, 685 
13,082 
17, 726 

62,866 


2,185,189 
1,608,413 
2,129,105 
1,377,053 
1,135,798 

6,650,914 


1,116,158 
827,429 

1,106,776 
728, 911 
597,930 

3,521,951 


1,069,031 
780,984 

1, 022, 329 
648,142 
537,868 

3,128,963 


28 
29 
30 
31 
32 

33 


33,115 

184,576 

9,943 


20,975 
95,201 
5,340 


12,140 
89,375 
4,603 


45, 992 
117, 178 
76, 756 
5,664 
10, 177 


23,632 
58,328 
39,126 
2,866 
5,595 


22, 360 

58, 850 

37, 630 

2,798 

4,582 


43,534 
59,203 
105,266 
4,979 
9,433 
73,515 
60, 509 

214,911 


24,678 
28, 847 
51,925 
2,751 
4,953 
38,310 
30, 670 

106,887 


24,856 
30,356 
53, 341 
2,228 
4,480 
35, 205 
29,839 

108,024 


13, 146 

39,008 
18, 087 


7,000 
19, 076 
8,829 


6,146 

19, 932 

9,258 


870, 602 

1,512,332 

1,832,323 

180, 340 

323,280 

771,015 

1,161,022 

9,647,649 


465,866 
793,215 
■953,538 
100, 022 
176,513 
414, 842 
617,955 

4,947,432 


404, 736 
719, 117 
878, 785 
80,318 
146, 767 
356, 173 
643,067 

4,700,217 


34 
35 
36 

S7 








5,710 
14,468 
34,797 

84,651 


2,852 
7,360 
17, 223 

40,782 


2,858 
7,098 
17,574 

43,869 


^S 


63,216 
69,323 

472,127 


34,087 
35, 634 

237, 691 


29, 129 
33,689 

234, 436 


39 


102, 457 
283, 136 


51, 165 
142,065 


51,292 
141,071 


40 
41 


290, 796 


142, 195 


148, 601 


124,840 


60,295 


64,545 


119,564 

46,669 
12,865 
36,483 
23, 657 

95,347 


59, 111 


60,453 


51,067 


24,261 


26,806 


5,617,263 


2,844,673 


2,772,590 


42 


83,856 
127, 803 
79, 137 


40,431 
63,804 
37, 960 


43,425 
63, 999 
41,177 


47, 164 
17,963 
25,615 
34,098 

168,296 


23, 184 
8,645 
12,620 
15, 946 

81,770 


23,980 
9,318 
13, 095 
18, 152 

76,526 


23,211 
6,436 
18,241 
11, 223 

47,776 


23, 358 
6,419 
18,242 
12, 434 

47,571 


17,995 
12,559 
8,302 
12,211 

33,584 


8,681 
5,804 
4,211 
6,565 

16,521 


9,314 
6,756 
4,091 
0, 646 

17,063 


1,501,922 
1,531,843 
1,363,864 
1,219,634 

4,030,386 


768, 639 
774,408 
684,673 
616,953 

2, 102, 759 


733,283 
757, 436 
679,191 
602,681 

1,927,627 


43 
44 
45 


181,331 


95,496 


85,835 


47 








22,457 
29,349 


11,126 
15,429 


11, 331 
13,920 


16,127 
11, 6.59 


7,798 
6, 802 


8,329 
6,857 


3,222 
6,277 


1,588 
3,056 


1,634 
3,222 


834,743 
1,055,052 

180, 182 

71,636 

1,888,873 

1,980,995 


425,372 

548,639 

96,586 

39,266 

992, 996 

1,177,501 


409,371 

506,513 

83,596 

32,270 

895, 877 

803,494 


4S 


25,874 


12,962 


12,912 


49 

5(1 








6,939 
99,551 

167,781 


4,243 
50, 972 

94,867 


2,696 
48,579 

72,914 














51 


155, 467 
300, 342 


82, 634 
179,349 


72,923 
120,993 


67, 661 
111,348 


34, 176 
02, 181 


33,385 
49, 167 


24,085 
85,698 


11,878 
48, 993 


12,207 
36, 705 


52 
53 


35,281 


22,926 


12,355 


61,390 


36,693 


24, 797 


25,656 


14,457 


11,198 


16,095 


9,646 


6,449 


622,424 


374,516 


247,908 


54 


. 10,723 


7,169 


3,554 


21,788 


13,800 


7,988 


3,426 


2,214 


1,212 


2, 850 


1,799 


1,051 


104, 137 
88,548 
41,071 
238, 366 
150,312 

250,846 


68,135 
63,346 
27,212 
144,695 
81,128 

140,566 


36,002 
35,202 
13,8.59 
93, 661 
69, 184 

110, 280 


55 
56 








18,078 
21,. 524 


10,742 
12,051 


7,336 
9,473 


3,406 
8,863 
9,970 

21,589 


2, 299 
4,671 
5,273 

11,604 


1,107 
■1,182 
4, 697 

9,985 










24,658 


15,757 


8,801 


13, 246 


7,847 


5,398 


38 
59 


44,843 


24,322 


20,521 


14,889 


8,234 


6,655 


14,210 


8,023 


6,187 


60 














8,302 
9,724 
3,563 

64,104 


4,772 
4,774 
2,058 

36,120 


3.530 
4,930 
1,505 

27,984 






79, 941 
135,624 
36,281 

1,107,725 


45,971 
71,562 
23,033 

662,419 


33,970 
64,062 
12, 248 

445,806 


61 


44,843 


24,322 


20,621 


14,889 


8,234 


6,655 


5, 699 
8,611 

55,393 


3,083 
4,940 

31,324 


2,616 
3,671 

24,069 


62 
63 


220,218 

98, 765 
46,385 
75,068 


132, 101 


88,117 


91, 502 


50,040 


41,462 


64 


63,024 
29,051 
40, 026 


35, 741 
17,334 
35,042 


4.709 

0,184 

SO, 609 


2,574 

4,2.3-1 

43,212 


2, 135 

1,930 

37,397 


8,135 

6,110 

50,859 


5,879 
2,9,55 
27,286 

i— 


2,256 
2,166 
23,673 


12,801 
11,763 
30, 839 


8,143 
6,499 
16, 682 


4, 658 
5,25-1 
14,1.57 


2.32,822 
248,272 
626, 631 


141,946 
140,924 
379, .519 


90,876 
107,348 
247,082 


63 
66 
07 



44 

Table 9.— POPULATION UNDER AND AT LEAST 5 YEARS OF AGE, CLASSIFIED BY SEX, AND PER CENT DISTRI- 
BUTION BY SEX, IN CITIES HAVING AT LEAST 25,000 INHABITANTS AND IN SMALLER CITIES AND COUNTRY 
DISTRICTS: 1900. 





POPULATION UNDEB 5 YEARS OF AGE: 1900. 


POPULATION AT LEAST 5 YEARS OF AGE: 1900. 


STATE OK TEKRITOKY. 


In cities having at least 25,000 
inhabitants. 


In smaller cities and country 
districts. 


In cities having at least 26,000 
inhabitants. 


In smaller cities and country 
districts. 




Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Total. 


Male. 


Female. 


Continental United States 


2, 054. 790 


1,033,836 


1,020,954 


7,116,838 


3,599,776 


3.516,062 


17,663,522 


8, 777, 062 


8,886,460 


49, 160, 425 


25, 405, 774 


23, 764, 651 


North Atlantic division 


1,100,319 


652,820 


647,499 


1, 144, 002 


576, 186 


567,816 


8, 998, 377 


4, 430, 512 


4, 667, 865 


9, 803, 997 


4,965,3.59 


4, 838, 638 


New England 


241, 133 


120, 940 


120, 193 


313,121 


157, 160 


156,961 


2,076,925 


1,008,077 


1,068,848 


2, 960, 838 


1,477,619 


1, 483, 219 






4,292 
6,120 


2,105 
2,981 


2,187 
3,139 


61,398 
32,111 
32, 852 
111,330 
18,856 
56, 674 

830,881 


30,842 
16,097 
16,536 
66,956 
9,467 
28,262 

419,026 


30,656 
16, 014 
16, 816 
55, 374 
9,389 
28, 312 

411,856 


45, 863 
50,867 


21,609 
23,622 


24,244 
27,245 


582, 923 
322,490 
310, 789 
1,056,852 
166, 668 
521, 116 

6, 843, 159 


296, 439 
162, 679 
158, 602 
616,788 
83, 411 
259, 700 

3,487,740 


286,484 
159,811 
152,187 
540, 064 
83,267 
261,416 

3,355.419 


New Hampshire 






170,907 
24,596 
35,218 

859,186 


86,817 
12,307 
17,730 

431, 880 


85,090 
12, 289 
17,488 

427,306 


1,466,257 
218,436 
295,512 

6,921,452 


708,913 
105, 331 
148,602 

3, 422. 435 


757, 344 
113, 105 
146,910 

3,499,017 






Southern North Atlantic . . 


New York .... 


498,451 
104, 960 
255,775 

122, 974 


260,670 
52,822 
128, 388 

61,524 


247, 781 

52, 138 

127, 387 

61, 460 


256, 039 
101,486 
474, 356 

1, 324, 605 


128,454 

51, 144 

239,428 

667, 607 


126, 685 

60, 342 

234, 928 

667,098 


3, 958, 682 

801, 787 

2,161,083 

' 1, 179, 554 


1,951,7.58 

398,880 

1,071,797 

558,630 


2, 006, 824 

402, 907 

1,089,286 

620, 924 


2, 556, 822 

875,436 

3, 410, 901 

7,816,347 


1, 283, 898 

438,914 

1,764,928 

3,934,934 


1, 272, 924 

436,522 

1,645,973 

3,881,413 




Pennsylvania 

South Atlantic division 


Northern South Atlantic . . 


97,540 


48, 797 


48, 743 


464,510 


234,898 


229,612 


937, 195 


446, 521 


490, 674 


2,965,236 


1,. 610, 360 


1,454,876 


DelaAvare 


7,644 
60,517 
23,160 
12,328 

3,901 

25, 434 


3,762 
26, 157 
11,683 
6,179 
2,016 

12,727 


3,882 
25,360 
11,467 
6,149 
1,885 

12,707 


12,162 
84,067 


6,127 
42, 396 


6,025 
41,671 


68,864 
458,440 
255, 568 
119,346 

34, 977 

242, 359 


34,621 

218, 123 

120,321 

56,461 

16, 995 

112, 109 


34, 243 

240,317 

135, 247 

62,885 

17, 982 

130,260 


96,075 
595, 020 


49,648 
303, 599 


46, 427 
291,421 




District of Oolnmhia . . 


Virginia 


236,727 
131, 664 

860, 095 


118, 968 
67,407 

432, 609 


117. 759 
64, 157 

427,486 


1, 485, 783 
788,368 

4,8.51,111 


744,289 
412,824 

2, 424, 574 


741, 494 
375,534 

2, 426, 637 




Southern South Atlantic .- 


North Carolina 








283, 712 
198,365 
308, 065 
69,953 

2,404,846 


143.488 
99,380 

154,313 
35,428 

1,219,100 


140,224 
98, 985 

163,752 
34,525 

1,185,746 








1,610,098 

1,086,144 

1,724,709 

430,160 

17,830,274 


795, 189 
.539.923 
863, 361 
226,101 

9,296,616 


814 909 


South Carolina 


5,286 
17,408 
2,740 

633,807 


2,644 
8,686 
1,397 

319,642 


2,642 
8,722 
1,343 

314,165 


60, 621 

166, 149 

26, 689 

5,464,077 


22, 948 
76,841 
12, 320 

2, 753, 964 


27,573 
89,308 
13,369 

2, 710, 113 


546, 221 
861, 348 
204,059 

8,533,658 


Georgia. 




North Central division 


Eastern North Central 


460, 913 


232,080 


228,833 


1,313.123 


664,990 


648,133 


■a, 878, 217 


1,939,898 


1,938,319 


10,333,328 


5,340,340 


4, 992, 988 


Ohio 


119, 404 
32,123 

211, 851 
48,780 
48, 7.55 

172, 894 


60,064 
16, 247 
106,383 
24, 662 
24,724 

87, .562 


59, 340 
15,876 
105, 468 
24,118 
24, 031 

85, 332 


812,406 
242, 676 
338, 184 
211,878 
207.979 

1,091,723 


1.58,332 
123, 285 
170,868 
107, 2.56 
105, 2.50 

654, 110 


154,074 
119.391 
167,316 
104,623 
102, 729 

537,613 


1,087,514 
313,835 

1, 703, 294 
419,642 
353, 932 

1,585,860 


640, 104 
164,'236 
866,350 
203, 486 
175,722 

814,066 


547,410 
169,599 
836,944 
216, 156 
178,210 

771, 794 


2,638,221 
1,927,828 
2,568,221 
1,740,682 
1,458,376 

7,496,946 


1,344,166 
991, 636 

1,329,181 
913, .502 
761,866 

3, 956, 276 


1,294,066 
936, 192 

1,239,040 
827, 180 
696, 510 

8,540,670 




Illinois 


Michigan 


Wisconsin . 


Western North Central 


Minnesota 


43,993 
21, 339 
83,055 


22, 269 
10, 773 
42, 169 


21, 724 
10,566 
40,886 


184, 297 
242,083 
280, 981 
47,783 
55, 217 
117, 759 
163, 603 

1,901,348 


93, 807 
122.848 
142, 409 
24,238 
28, 072 
59,762 
82,974 

963, 783 


90,490 
119, 235 
138, 572 
23, 5 15 
27, 145 
,57, 997 
80,629 

937,565 


374,759 
196, 920 
784,937 


195, 142 

98,560 

399,211 


179,617 

98, 370 

385, 726 


1, 148, 345 

1,771,511 

1,957,692 

271,363 

346, 3.53 

779,816 

1,221,866 

10,992,674 


621,272 
924, 678 
1,011,921 
153, 255 
188, 092 
414, 140 
642, 918 

5,641,396 


627, 073 
846, 833 
945, 771 
118, 108 
158,261 
365, 676 
578,948 

5, 351, 278 




Missouri 


North Dakota 


South Dakota 
















16,988 
8,519 

114,730 


8,074 
4,277 

57, 730 


7,914 
4,242 

67, 000 


1.52, 737 
76,507 

1,071,296 


82, 616 
38,517 

519,013 


70, 121 
37,960 

652,282 


Kansas 


South Central division 


Eastern South Central 


60, 611 


30, 557 


30,054 


995, 293 


504, 638 


490, 655 


594, 934 


288,510 


306,424 


6, 896, 919 


2,985,961 


2, 910, 958 


Kentucky . . 


27, 841 

22,805 

9,965 


13,990 
11, 675 
4,992 


13,851 

11,230 

4,973 


266, 389 
252, 118 

267, 336 
229, 451 

906,055 


130, 3.59 
128, 340 
130, 153 
115, 786 

459,145 


126, 030 
123, 778 
127, 182 
113,665 

446,910 


274, 498 

223, 171 

97, 265 


131, 967 
109,978 
46, 565 


142,631 
113, 193 
50, 700 


1,5,88,446 
1,622,522 
1, 464, 132 
1,321,819 

5,095,756 


813,911 
771,331 
735,054 
665, 665 

2, 655, 435 


774, 535 
751, 191 
729, 078 




Alabama 




Western South Central 


54, 119 


27, 173 


26,946 


476,361 


230,503 


246,858 


2,440,320 




30,064 
3,482 


15,084 
1.773 


14, 980 
1,709 


169, 342 

186, 329 

69, 985 

68, 530 

431,869 

341,037 


85, 582 
94, 162 
30,256 
29,630 
219,515 

173, 200 


83, 760 
92, 167 
29, 729 
28,900 
212,354 

167, 837 


257,040 
34,825 


120, 984 
17,498 


136,056 
17,327 


925,179 

1,086,928 

332,075 

339,801 

2,411,772 

2, 717, 133 


473,083 
561,879 
178,696 
184,729 
1,2.57,048 

1,. 567, 469 


462, 096 
625,049 




Indian Territorv 


Oklahoma 














156, 072 
1,154,724 

1, 149, 664 


Texas . 


20, 573 
82, 960 


10,316 
42, 120 


10,257 
40,840 


184, 496 
950,219 


92, 021 
514, 943 


92,475 
435, 276 


Western division 


Rocky Mountain 


17,211 


8,778 


8,433 


126,074 


63,936 


62, 138 


176,275 


91,335 


83, 940 


914, 082 


536,904 


377 178 








2,976 


1,473 


1,503 


24, 003 
21,660 
10,620 
42, 764 
27, 227 

53,817 


12,175 
11,035 
5,351 
21,590 
13,786 

27,564 


11,828 
10, 525 
6,169 
21,174 
13,442 

26, 253 


27,494 


16, 698 


10, 796 


188, 856 
140, 212 
82,011 
334, 920 
• 168,083 

334,667 


119,496 
82, 332 
52, 833 

191,800 
90, 443 

185, 672 


69,360 
57,880 
29, 178 
143, 120 
77,640 

148, 995 


Idaho 


Wyoming 














Colorado 


14,235 


7,305 


6,930 


147, 781 


74, 637 


73,144 


New Mexico 


Basin and Plateau 


6,674 


3,356 


3,218 


46, 957 


22,493 


24,464 


Arizona 








14, 785 

36, 278 

3,754 

161,146 


7, 615 
18,021 
1,928 

81, 700 


7,170 
17, 267 
1,826 

79,446 








108, 146 
187, 940 
38,581 

1,468,384 


64,180 
97, 817 
23, 675 

844, 893 


43, 966 
90, 123 
14 906 


Utah 


6,574 


3,366 


3,218 


46, 957 


22,493 


24,464 


Nevada 


Pacific 


59,175 


29,986 


29,189 


727,987 


401, 115 


326,872 


623, 491 






11,670 
6,348 
41.257 


5,848 

3,251 

20,887 


5, 722 

3,097 

20, 370 


41,673 
34. 793 

84, 680 


21,247 
17,619 
42, 834 


20,426 
17,174 
41,846 


143, 663 

84,078 

500, 246 


88,072 

49, 877 

263, 166 


55,591 

34,201 

237, 080 


321,197 
288, 317 
858, 870 


189,011 
162, 238 
493,644 


132, 186 
126, 079 
866,226 


Oregon 


California ... 





45 

Table 9.— POPULATION UNDER AND AT LEAST 5 YEARS OF AGE, CLASSIFIED BY SEX, AND PER CENT DISTRI- 
BUTION BY SEX, IN CITIES HAVING AT LEAST 25,000 INHABITANTS AND IN SMALLER CITIES AND COUNTRY 
DISTRICTS: 1900— Continued. 





FOPULATION UNDER 5 
YEARS OF AOE: 1900. 


POPULATION AT LEAST 
5 YEARS OP AGE: 1900. 


STATE OR TERRITORY. 


POPULATION UNDER 5 
Y-EARS OF age: 1900. 


POPULATION AT LEAST 
6 YEARS OF AGE: 1900. 


STATE OB TERRITORY. 


In cities 
having at 
least 25,000 

inhabit- 
ants. 


In smaller 
cities and 
country dis- 
tricts. 


In cities 
having at 
least 26,000 

inhabit- 
ants. 


In smaller 
cities and 
country dis- 
tricts. 


In cities 
having at 
least 26,000 

inhabit- 
ants. 


In smaller 
cities and 
country dis- 
tricts. 


In cities 
having at 
least 25,000 

inhabit- 
ants. 


In smaller 
cities and' 
country dis- 
tricts. 




Per 
cent 
male. 


Per 
cent 

fe- 
male. 


Per 
cent 
male. 


Per 
cent 
fe- 
male. 


Per 
cent 
male. 


Per 
cent 

fe- 
male. 


Per 

cent 
male. 


Per 

cent 
fe- 
male. 


Per 
cent 
male. 


Per 

cent 
fe- 
male. 


Per 
cent 
male. 


Per 
cent 
fe- 
male. 


Per 
cent 
male. 


Per 

cent 
fe- 
male. 


Per 
cent 
male. 


Per 
cent 

fe- 
male. 


Continental United States 


60.3 


49.7 


50.6 


49.4 


49.7 


50.3 


61.7 


48.3 


Western North Central- 
Continued. 


50.8 


49.2 


60.7 
50.7 
50.8 
50.7 
50.7 

60.7 


49.3 
49.3 
49.2 
49.3 
49.3 

49.3 


50.9 


49.1 


.51.7 






50.2 


49.8 


50.4 


49.6 


49.2 


50.8 


50.6 


49.4 










New England 


50.2 


49.8 


50.2 


49.8 


48.6 


51.5 


49.9 


60.1 


South Dakota 










54 3 ! dn 7 






50.5 
60.2 

50.3 


49.5 
49.8 

49.7 


54.1 
50.4 

48.4 


46.9 
49.6 


53.1 
52.6 


46.9 
47.4 




49.0 

48.7 


51.0 
51.3 


.60.2 
50.1 
50.3 
60.3 
60.2 
50.0 

50.4 


49.8 
49.9 
49.7 
49.7 
49.8 
60.0 

49.6 


47.1 
46.4 


62.9 
63.6 


60.9 
50.4 
61.0 
48.9 
60.0 
49.8 

51.0 


49.1 
49.6 
49.0 
61.1 
60.0 
50.2 

49.0 


Kansas 

South Central division 

Eastern South Central.... 
Kentucky .. 


New Hampshire 




48.7 


Massachusetts 


60.2 
60.0 
50.3 

50.3 


49.8 
50.0 
49.7 

49.7 


48.3 
48.2 
50.3 

49.4 


51.7 
51.8 
49.7 

50.6 






50.4 


49.6 


60.7 


49.3 


48.5 


51.5 50.6 


49.4 






50.2 
60.8 
50.1 


49.8 
49.2 
49.9 


50.8 
50.9 
50.6 
50.5 

60.7 


49.2 
49.1 
49.4 
49.6 

49.3 


48.1 
49.3 
47.9 


61.9 51.2 
60. 7 50. 7 


4$ 8 


Southern North Atlantic . . 


Tennessee 


49 3 






49.8 
49 6 


New York 


60.3 
50.3 
50.2 

50.0 


49. 7 
49.7 
49.8 

60.0 


60.4 
50.4 
60.5 

50.4 


49.6 
49.6 
49.5 

49.6 


49.3 
49.7 
49.6 

47.4 


60.7 
60.3 
60.4 

52.6 


60.2 
50.1 
51.7 

60.3 


49.8 
49.9 
48.3 

49.7 






50.4 


New Jersey 


Western South Central . . . 
Louisiana 


50.2 


49.8 


48.4 








51.6 ' 52.1 


47.9 




South Atlantic division 


50.2 
50.9 


49.8 
49.1 


60.6 
60.6 
60.4 
50.6 
50.8 

50.8 


49.5 
49.6 
49.6 
49.4 
49.2 

49.2 


47.1 
50.2 


52 9 .61 1 


48 9 






49.8 


51.7 
53.8 
54.4 
52.1 

57.7 


48.3 
46 2 


Northern South Atlantic . . 


50.0 


50.0 


50.6 


49.4 


47.6 


62.4 


60.9 


49.1 


Indian Territory . 














46.6 
47 9 


Delaware 


49.2 
49.8 
50.5 
50.1 
51.7 

50.0 


50.8 
50.2 
49.5 
49.9 
48.3 

50.0 


.50.4 
60.4 


49.6 
49.6 


50.3 
47.6 
47.1 
47.3 
48.6 

46.3 


49.7 
62.4 
52.9 
52.7 
51.4 

53.7 


51.7 
61.0 


48.3 
49.0 


Texas 


50.1 
60.8 


49.9 
49.2 


49.9 
54.2 


60.1 
46.8 


Maryland 








42.3 




50.3 

51.2 

50.3 


49.7 
48.8 

49.7 


50.1 
52.4 

60.0 


49.9 
47.6 

50.0 




West Virginia 


61.0 


49.0 


50.7 


49.3 


52.1 


47.9 


58.7 


41.3 




Montana 


Southern South Atlantic. 


49.5 


50.5 


60.7 
51.2 
50.9 
50.5 
50.6 

51.2 


49.3 
48.8 
49.1 
49.5 
49.4 

48.8 


60.7 


39.3 


63.3 
58.7 
64.4 
57.3 
53.8 

55.5 


36 7 






41.3 
35.6 
42.7 
46.2 

44.5 


North Carolina -. . . 






50.6 
50.1 
50.1 
50.6 

50.7 


49.4 
49.9 
49.9 
49.4 

49.3 


'45.' 4' 

46.2 
48.0 

50.4 


'bi'.h' 
63.8 
62.0 

49.6 


49.4 
49.7 
50.1 
52.6 

52.1 


.50.6 
50.3 
49.9 
47.4 

47.9 













South Carolina 


50.0 
49.9 
51.0 

50.4 


60.0 
50.1 
49.0 

49.6 




51.3 


48.7 


50.5 


49.5 


Georgia 




Florida 


Basin and Plateau 


61.0 


49.0 


47.9 


52.1 








51.5 
61.1 
61.4 

60.7 


48.6 
48.9 
48.6 

49.3 






59.3 
52.0 
61.4 

57.6 


40.7 
48.0 




60.4 


49.6 


50.6 


49.4 


60.0 


60.0 


61.7 


48.3 


Utah 


61.0 


49.0 


47.9 


52.1 






38.6 




50.3 
60.6 
50.2 
50.6 
50.7 

60.6 


49.7 
49.4 
49.8 
49.4 
49.3 

49.4 


60.7 
.50.8 
60.5 
60.6 
50.6 

60.8 


49.3 
49.2 
49.6 
49.4 
49.4 

49.2 


49.7 
49.1 
50.9 
48.5 
49.6 

51.3 


60.3 
50.9 
49.1 
61.6 
60.4 

48.7 


60.9 
51.4 
51.8 
62.5 
52.2 

52.8 


49.1 
48.6 
48.2 
47.5 
47.8 

47.2 


Pacific 


60.7 


49.3 


65.1 


44.9 


Indiana 


42 5 




Washington 






50.5 
51.2 
50.6 


49.5 
48.8 
49.4 


51.0 
50.6 
50.6 


49.0 
49.4 
49.4 


61.3 
69.3 
52.6 


38.7 
40.7 
47.4 


58.8 
56.3 
57.5 


41.2 




Oregon 


43.7 




California 


42 5 


Western North Central .... 






Minnesota 


60.6 
60.6 


49.4 
49.5 


50.9 
50.7 


49.1 
49.3 


52.1 
50.0 


47.9 
50.0 


54.1 
52.2 


45.9 
47.8 




Iowa 









46 

Table 10.— MALE AND FEMALE POPULATION, BY PHYSIOGEAPHIO DIVISIONS, FOR CONTINENTAL UNITED STATES 
AND FOR MAIN AND MINOR GEOGRAPHIC DIVISIONS: 1900, 1890, AND 1880. 



Continental Uniteci States. 



New England hills 

Coast lowlands 

Coastal plain (east of the Mississippi river) . . 

Piedmont region 

Appalaehian valley .' 

Allegheny plateau 

Lake region 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) . 

Great plains 

Rocky mountains 

Columbian mesas 

Great basin 

Plateau region 

Pacific valley 

Coast ranges 



North Atlantic division . 



New" England hills 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Lake region 



New England . 



New England hills . . . 
Southern North Atlantic . 



New England hills 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalacliian valley 

Allegheny plateau 

Lake region 



South Atlantic division . 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley 

Allegheny plateau 



Northern South Atlantic . 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley 

Allegheny plateau 



Southern South Atlantic . 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley 



North Central division . 



Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain ( west of the Mississippi river) 
Great plains 



Eastern North Central 



Lake region 

Interior timbered region . 
Prairie region 



POPULATION. 



1900 



Male. 



38,816,4-18 



10, 524, 877 



5, 081, 974 
218, 104 
1,094.472 
1,433,906 
2, 129, 616 
5B6. 805 

2, 763, 796 



2, 763, 796 
7,761,081 



2, 318, 178 
218, 104 
1,094.472 
1,433,906 
2, 129, 616 
566, 805 

5, 222, 595 



550, 504 

1. 654, 805 

1,947,754 

574, 062 

495,470 

2, 240, 576 



162, 367 
508. 275 
737, 763 
336,701 
495, 470 

2,982,019 



388, 137 
1, 146, 530 
1,209,991 

237, 361 

13, 689, 322 



Lake region 4, 351, 498 

Interior timbered region 2, 907, 942 

" ■ 50,924 

5, 788, 187 

241,572 

27, .536 

221, 663 



., 177, 308 



3, 725, 213 
2, 857, 371 
1,.W4,724 



Female. 



37,178,127 



5,178,179 

927, 253 

3,210,434 

3, 439, 556 

2, 238, 080 

2, 960, 109 

4,662,912 

4, 010, 571 

595, 345 

6, 385, 421 

682, 108 

958, 123 

475, 604 

246, 496 

152, 972 

176, 305 

84, 313 

415, 624 

498, 822 

10, 521, 818 




2,828,221 



2, 828, 221 
7, 693, 597 



2, 349, 958 
217, 815 
1, 118, 092 
1,413,189 
2, 021, 607 
572, 936 

5, 220, 885 



534, 884 

1,654,683 

2. 004, 820 

573,622 

452, 976 

2, 223, 906 



151,4.59 
511,953 
770,566 
336, 951 
452, 976 

2, 996, 980 



383, 425 
1, 142, 730 
1,234,254 

236, 571 

12, 743, 682 




1890 



Male. 



4, 108, 084 
727, 549 
2,719,706 
2,886,267 
1,884,989 

2, 623, 508 
3, 893, 502 

3, 687, 074 
511,666 

6, 839, 680 
493, 371 
784, 995 
467, 709 
251,846 
139, 610 
170, 449 
82, 728 
481,341 
484, 027 

8, 680, 657 



4,108,084 

185, 489 

917, 572 

1,161,737 

1,828,482 

479, 293 

2,313,759 



2, 313, 759 
6,366,898 



1, 794, 325 

185,489 

917, 572 

1,161,737 

1, 828, 482 

479,293 

4, 418, 771 



■ 424,690 

1,406, .552 

1,704,010 

505, 837 

377, 782 

1,925,411 



120, 071 
454, 694 
674, 234 
298, 630 
377, 782 

2, 493, 360 



304, 619 

951,858 

1,029,776 

207, 207 

11, 618, 690 



3,414, 

2, 608, 

37, 

5, 126, 

212, 

18, 

202, 



6, 916, 423 



2,936,546 
2,564,874 
1,416,003 



Female. 



30,710,613 



4,220, 
729, 
2,717 
2,951 
1,858 

2, 515, 

3, 616 
3,604, 

478 
5,331 
461 
734, 
355, 
162 

97 
136 

58, 
314 
366, 

8, 726, 



4, 220, 

185, 

939 

1,142, 

1, 758, 

480: 

2,386, 



2, 386: 
6, 339, 



1,833, 
185, 
939 

1, 142 

1,758 
480: 

4, 439, 



416, 

1, 405, 

1, 756, 

603, 

366, 

1,934, 



112, 
458, 
709, 
297, 
356 

2, 504: 



304, 

946, 

1, 047, 

206, 

10, 791 



3, 136, 

2, 542, 

32 

4, 697 

201 

16 

165, 

6, 561 



2,723, 
2, 500, 
1,337, 



General enumeration. = 



Male. 



4,107,405 

727,400 

2, 719, 705 

2,685,265 

1,884,989 

2,622,424 

3, 886, 270 

3,687,062 

511, 666 

5, 785, 514 

435, 600 

784, 960 

452,472 

247, 449 

137, 085 

168, 002 

64, 273 

479,910 

480, 429 

8, 677, 798 



4, 107, 405 

185, 489 

917, 572 

1,161,737 

1,827,398 

478, 197 

2,313,755 



2, 813, 765 
6, 364, 043 



1,793,650 

186, 489 

917, .572 

1,161,737 

1, 827, 398 

478, 197 

4, 418, 769 



424, 590 

1, 406, 562 

1,704,008 

505,837 

377, 782 

1,926,411 



120, 071 
454. 694 
674, 234 
298, 630 
377, 7.S2 

2, 493, 368 



304, 519 

951, 858 

1, 029, 774 

207, 207 

11,594,910 



3, 408, 073 

2,608,272 

37, 009 

5, 119, 536 

212. 078 

18,459 

191,483 

6, 913, 122 



2,932,258 
2,664,862 
1,416,002 



Female. 



30,654,370 



4,219,927 

728, 952 

2,717,699 

2, 951, 906 

1, 858, 515 

2, 614, 709 

3, 609, 534 

3, 604, 448 

478, 392 

5,281,783 

412,411 

734, 078 

339, 106 

1.57, 749 

94, 747 

134, 196 

39, 821 

313, 017 

363, 380 

8, 723, 747 



4, 219, 927 

185, 170 

939, 470 

1,142,280 

1, 757, 542 

479, 358 

2, 386, 990 



2, 386, 990 
6, 336, 757 



1, 832, 937 

186, 170 

939, 470 

1, 142, 280 

1, 767, 642 

479, 358 

4, 439, 161 



416. 948 
1, 405, 303 
1,766,622 

603, 329 

356. 949 

1, 934, 638 



112, 900 
458, 578 
709, 170 
297, 041 
356, 949 

2, 604, 513 



304, 048 

946, 726 

1, 047, 452 

206, 288 

10, 767, 309 



3,130,176 

2, 542, 395 

32, 057 

4, 690, 611 

201,279 

16, 803 

154,148 

6, 558, 718 



2, 719, 838 
2, 500, 889 
1, 337, 991 



1880 



Male. 



25,618,820 



3, 406, 574 

625, 286 

2,318,394 

2,462,842 

1,517,410 

2,163,429 

2, 744, 947 

3, 340, 029 

405, 334 

4,484,286 

303, 942 

599, 032 

161, 118 

168, 038 

62,897 

138. 898 
32, 703 

293, 732 

309. 899 

7,160,622 



3,406,574 
161, 757 
754,473 
924, 205 

1,534,562 
389, 051 

1,958,723 



1, 968, 723 
6, 201, 899 



1,447,851 
1.51,757 
754, 173 
924, 205 

1, 534, 562 
389,061 

3, 757, 698 



361, 412 

1, 162, 153 

1,610,094 

425, 014 

299, 025 

1,679,957 



96, 916 
403, 108 
625, 119 
255, 7.89 
299, 025 



264, 496 
769, 046 
884, 976 
169, 225 

9, 015, 920 



2, 355, 896 

2,355,184 

28, 291 

4, 062, 448 

147, 229 

11,917 

54, 955 

5,753,244 



2, 094, 390 
2, 315, 500 
1,343,354 



Female. 



24, 636, 963 



3, 554, 599 

642, 640 

2, 348, 278 

2, 564, 926 

1,538,049 

2,131,242 

2,654,910 

3,267,005 

381 , 212 

4,058,978 

288,202 

563, 062 

95, 877 

89, 261 

31,309 

102, 181 

16,082 

181,933 

228, 217 

7, 346, 785 



3, 554, 599 
153, 201 
794,681 
932, 843 

1,. 516, 680 
395, 781 

2,051,806 



2,0.51,806 
5, 294, 979 



1, 602, 793 
163, 201 
794, 681 
932,843 

1,516,680 
395, 781 

3, 839, 499 



371, 369 

1,180,444 

1, .566, 640 

432,831 

2,88, 215 

1,710,240 



96, 606 
410,357 
6.54, 708 
260, 354 
288, 215 

2,129,259 



274, 763 
770, 087 
911,932 
172, 477 

1, 348, 191 



2, 159, 129 
2,291,896 
24,, 594 
3, 689, 741 
141,194 
10, 735 
30, 902 

5, 453, 424 



1, 936, 238 
2, 254, 469 
1, 262, 717 



1 Figures include population of Indian Territory and Indian reservations. - Figures exclude population of Indian Territory and Indian reservations. 



47 

Table lO.— MALE AND FEMALE POPULATION, BY PHYSIOGRAPHIC DIVISIONS, FOE CONTINENTAL UNITED STATES 
AND FOR MAIN AND MINOR GEOGRAPHIC DIVISIONS: 1900, 1890, AND 1880— Continued. 



North Central division— Continued. 

Western North Central 

Lake region 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark Mils 

Coastal plain (west of the Mississippi river) 
Great plains 

South Central division 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) 

Great plains 

Rocky mountains 

Eastern South Central ; 

Coast lowlands 

(IJoastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Interior timbered region 

Mississippi alluvial region 

Western South Central 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) 

Great plains 

Rocky mountains 

Western division 

Great plains 

Rocky mountains 

Columbian mesas 

(5reat basin 

Plateau region 

Pacific valley 

Coast ranges 

Rocky Mountain 

Great plains 

Rocky mountains 

Columbian mesas 

(^reat basin 

Plateau region 

Basin and Plateau 

Great basin 

Plateau region 

Pacific 

Rocky mountains 

Columbian mesas 

Great basin 

Pacific valley 

Coast ranges 



POPULATIOM. 



1900 



5, 412, 014 



626, 285 

50, 571 

.50, 924 

4, 193, 463 

241, .572 
27, .536 

221, 663 

7,181,922 



388, 195 

1,344,292 

327, 321 

253,024 

495, 051 

1,211,247 

580, 825 

1,127,362 

380, 200 

989, 018 

65, 70S 

19, 679 

3, 809, 666 



62, 609 
1,275,676 
327, 321 
253, 024 
495, 051 
1,211,247 
184,738 

3, 372, 266 



325,586 
68, 616 

396,087 
1, 127, 362 

380, 200 

989, 018 
65, 708 
19, 679 

2, 297, 732 



289, 744 
326, 797 
203, 786 
199, 040 
117,356 
579, 839 
681, 170 

700, 953 



289, 744 

312, 133 

52, 424 

14,961 

31,691 

239, 085 



153,420 
85,665 



1,357,694 



14, 064 
1.61,362 

30, 6.69 
579, 839 
681,170 



Female. 



4,935,409 



549, 924 

47, 913 

43, 775 

3, 864, 499 

231, 078 
24, 434 

183, 786 

6, 898, 126 



392, 369 

1,337,936 

316,644 

251, 369 

475, .526 

1,186,826 

551, 570 

1,028,533 

351, 030 

933, 689 

66, 040 

16, 593 

3,738,091 



62, 726 
1,270,988 
316, 644 
251, 369 
475, 526 
1,186,826 
174, 012 

3, 160, 034 



329. 643 
66, 948 

377, 558 
1,028,533 

361,030 

933, 689 
56, 040 
16, 593 

1,793,617 



236, 778 
229, 903 
152, 972 
176, 305 
84, 313 
415, 524 
498, 822 

531,689 



235, 778 

220, 842 

40. 706 

12, 725 

21,638 

202, 930 



140,255 
62,075 

1,058,998 



9,061 
112, 266 
23, 325 
415, 524 
498, 822 



1890 



Total. 



Male. 



4, 702, 167 



478, 663 

43, 410 

37, 009 

3,710,108 

212, 078 
18, 469 

202, 440 

5,699,424 



302, 959 

1,127,665 

263, 685 

217, 415 

417, 244 

1,078,790 

474, 657 

713, .569 

281,293 

766, 636 

42, 720 

12, 891 

3, 241, 635 



46, 582 
1,071,119 
263, 685 
217, 416 
417, 244 
1,078,790 
147,800 

2, 457, 789 



257, 377 

56, .546 

326, 857 

713, 569 

281,293 

766, 536 

42, 720 

12,891 



222, 649 
238, 965 
139, 610 
170, 449 
82, 728 
481,341 
484,027 

618, 882 



222, 519 
233, 689 

31,249 
7,679 

23,816 

192, 749 



133, 837 
58, 912 

1,108,028 



5,266 

108, 361 

29, 033 

481,341 

484,027 



4, 229, 946 



413,468 
41, 606 
32,057 
3, 369, 212 
201,279 
■ 16,803 
166, 620 

5,470,713 



312, 239 

1,127,226 

255, 814 

212,906 

400, 218 

1,062,0-53 

446, 335 

633,910 

259, 956 

717,276 

33, 296 

9,486 

3, 187, 619 



47, 380 

1, 072, 153 
265, 814 
212, 906 
400, 218 

1,062,0.53 
136, 995 

2, 283, 194 



264, 859 

66, 073 

309, 340 

633, 910 

269, 955 

717, 276 

33, 296 

9,485 

1,282,610 



156,251 
152, 645 

97, 493 
136, 620 

58, 374 
314, 357 
366, 870 

348, 676 



156, 261 
149, 306 

22, 138 
6,839 

14, 143 

153, 628 



109, 397 
44,231 



780, 306 



3, 340 
75, 366 
20, 384 
314,3.57 
366, 870 



General enumeration. 



Male. 



Female. 



4,681,788 



476, 816 

43, 410 

37, 009 

3, 703, .534 

212,078 
18, 4.59 

191,483 

5,598,877 



302, 810 

1,127,664 

263, 685 

217,415 

417, 244 

1,078,790 

474,6.57 

665, 978 

223, 522 

766,. 901 

42, 720 

12, 891 

3,241,486 



45, 433 
1,071,119 
263, 685 
217, 415 
417,244 
1,078,790 
147,800 

2, 352, 391 



267,377 

56,545 

326, 867 

665, 978 

223, 622 

766, 501 

42, 720 

12,891 



218,269 
234, 658 
137, 086 
168, 002 
64, 273 
479, 910 
480, 429 

606, 817 



218, 269 
230, 756 

30, 394 
6, .802 

20, .596 

176, 248 



132,571 
43, 677 

1, 099, 461 



3,802 

106, 691 

28, 629 

479,910 

480, 429 



4, 208, 651 



410,338 

41,506 

32, 067 

3, 352, 520 

201, 279 
16,803 

154, 148 

5,379,016 



312, 004 

1,127,226 

255, 814 

212,906 

400. 218 

1,062,053 

446, 335 

691, 272 

211,132 

717, 275 

33, 296 

9,486 

3,187,284 



47, 146 
1,072,153 
255. 814 
212, 906 
400, 218 
1,062,063 
136, 995 

2, 191, 732 



264, 859 
55, 073 
309, 340 
591, 272 
211,132 
717, 275 
33, 296 
9,485 

1,245,087 



151, 662 
148,264 

94, 747 
134, 196 

39, 821 
313, 017 
363, 380 

336, 223 



151, 662 
146, 258 

21,237 
6,074 

10, 992 

137, 038 



108, 209 
28, 829 



771,826 



2,006 
73, 510 
19, 913 
313, 017 
363, 380 



1880 



Male. 



3,262,676 



261, 506 

39, 684 

28, 291 

2, 719, 094 

147, 229 
11,917 
54, 965 

4, 514, 546 



263, 874 

1,004,484 

198, 275 

168, 191 

329,842 

984, 846 

377, 043 

421,838 

156, 713 

687,115 

17,547 

4,779 

2, 791, 673 



38,615 
968, 233 
198, 275 
168, 191 
329, 842 
984,845 
113, 672 

1,722,873 



225. 259 
46, 251 
263, 371 
421, 838 
156, 713 
587, 116 
17,547 
4,779 

1, 070, 034 



78, 646 
163, 2.59 
62, 897 

138. 898 
32, 703 

293, 732 

309. 899 

257,774 



78, 646 
162,287 
9,129 
5,704 
2,008 

144, 730 



114,035 
30, 695 



667, 530 



972 

43, 768 

19, 159 

293,732 

309, 899 



Female. 



2,. 894, 767 



222, 891 

37,427 

24, 694 

2, 427, 024 

141, 194 
10, 735 
30, 902 

4, 404, 825 



271,271 

1, 014, 633 

203, 605 

172, 375 

327,347 

976, 109 

366, 618 

369, 237 

147, 008 

552, 327 

11,649 

3,746 

2,793,478 



40,582 
968, 492 
203, 605 
172, 375 
327, 347 
975, 109 
105, 908 



230, 689 
46, 141 
250, 660 
369, 237 
147, 008 
6.52, 327 
11,649 
3,746 

697, 663 



53, 426 
86, 515 
31,309 
102, 181 
15,082 
181,933 
228, 217 

148, 670 



63,426 
86, 242 
4,820 
4.495 
693 

101,939 



87, 6.60 
14, 389 



447, 048 



273 

26, 489 

10, 136 

181,933 

228,217 



48 

Table 11.— PER CENT MALE AND FEMALE IN THE POPULATION, BY PHYSIOGRAPHIC DIVISIONS, FOR CONTI- 
NENTAL UNITED STATES AND FOR MAIN AND MINOR GEOGRAPHIC DIVISIONS: 1900, 1890, AND 1880. 



Continental United States 

New England hills 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau '. 

Lake region 

Interior timbered region 

Mississippi alluvial region 

Prairie region , 

Ozark hills 

Coastal plain (west of the Mississippi river) 

Great plains 

Rocky mountains 

Columbian mesas 

Great basin 

Plateau region 

Pacific valley 

Coast ranges 

North Atlantic division 

New England hills 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau 

Lake region 

New England 

New England hills 

Southern North Atlantic 

New England hills 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau" 

Lake region 

South Atlantic division ^ 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region .' 

Appalachian valley 

Allegheny plateau 

Northern South Atlantic 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

Allegheny plateau' 

Southern South Atlantic 

Coast lowlands 

Coastal plain (east of the Mississippi river) 

Piedmont region 

Appalachian valley 

North Central division 

Lake region 

Interior timbered region V.'.V///. 

Mississippi alluvial region !!!!!!!...!! 

Prairie region 

Ozark hills ["".].]" 

Coastal plain (west Of the Mississippi river) 

Great plains 

Eastern North Central 

Lake region 

Interior timbered region 

Prairie region 

1 Figures include population of Indian Territory and Indian reservations. 



POPULATION. 



1900 



Per cent 
male. 



5L1 



49.5 
60.3 
50.1 
49.5 
60.3 
61.4 
51.4 
50.7 
51.6 
62.0 
51.6 
61.5 
54.8 
68.4 
57.1 
53.0 
68.2 
58.3 
53.8 

50.0 



49.5 
50.0 
49.6 
50.4 
61.3 
49.7 

49.4 



49.4 
50.2 



49.7 
50.0 
49.5 
50.4 
51.3 
49.7 

50.0 



50.7 
50.0 
49.3 
50.0 
52.2 

50.2 



61.7 
49. S 
48.9 
50.0 
52.2 

49.9 



50.3 
50.1 
49.5 
50.1 

51.6 



51.6 
50.7 
53.8 
51.9 
61.1 
53.0 
54.7 

51.2 



51.3 
50.7 
51.5 



Per cent 
female. 



48.9 



50.5 
49.7 
49.9 
60.5 
49.7 
48.6 
48.6 
49.3 
48.6 
48.0 
48.4 
48.5 
45.2 
41.6 
42.9 
47.0 
41.8 
41.7 
46.2 

50.0 



50.6 
.50.0 
60.6 
49.6 
48.7 
60.3 

60.6 



60.6 
49.8 



50.3 
50.0 
50.5 
49.6 

48.7 
80.3 

60.0 



49.3 
60.0 
50.7 
80.0 
47.8 

49.8 



48.3 
50.2 
51.1 
50.0 
47.8 

50.1 



49.7 
49.9 
60.5 
49.9 

48.4 



48.4 
49.3 
46.2 
48.1 
48.9 
47.0 
46.3 

48.8 



48.7 
49.3 
48.5 



1890 



Total.i 



Per cent 
male. 



61.2 



49.3 
49.9 
80.0 
49.4 
60.4 
61.0 
61.8 
60.6 
61.7 
52.3 
61.7 
61.7 
86.8 
60.8 
58.8 
66.0 
58.6 
00.6 
66.9 

49.9 



49.3 
50.0 
49.4 
60.4 
51.0 
49.9 



49.2 


50.8 


49.2 


60.8 


50.1 


49.9 



49.5 
60.0 
49.4 
50.4 
61.0 
49.9 

49.9 



60.5 
60.0 
49.2 
50.1 
51.4 

49.9 



51.5 
49.8 
48.7 
60.1 
51.4 

49.9 



80.0 
60.1 
49.6 
50.1 

51.8 



52.1 
50.6 
53.6 
62.2 
61.3 
62.3 
6.5.0 

61.3 



51.9 
50.0 
51.4 



Per cent 
female. 



50.7 
50.1 
60.0 
50.6 
49.6 
49.0 
48.2 
49.4 
48.3 
47.7 
48.3 
48.3 
43.2 
39.2 
41.2 
44.6 
41.4 
39.5 
43.1 

60.1 



50.7 
.50.0 
50.6 
49.6 
49.0 
50.1 



50.5 
50.0 
50.6 
49.6 
49.0 
50.1 

50.1 



49.5 
60.0 
60.8 
49.9 
48.6 

50.1 



48.5 
50.2 
51.3 
49.9 
48.6 

60.1 



.50.0 
49.9 
50.4 
49.9 

48.2 



47.9 
49.4 
46.4 
47.8 
48.7 
47.7 
45.0 

48.7 



48.1 
49.4 
48.6 



General enumera- 
tion.2 



Per cent 
male. 



49.3 
49.9 
50.0 
49.4 
80.4 
51.0 
6L8 
60.6 
61.7 
62.3 
5L4 
61.7 
67.2 
61.1 
69.1 
65.6 
61.7 
60.5 
56.9 



49.3 
50.0 
49.4 
60.4 
6L0 
49.9 

49.2 



49.2 
50.1 



49.5 
50.0 
49.4 
50.4 
51.0 
49.9 

49.9 



60.5 
50.0 
49.2 
50.1 
51.4 

49.9 



51.6 
49.8 
48.7 
50.1 
51.4 

49.9 



50.0 
50.1 
49.6 
50.1 

51.9 



62.1 
60.6 
63.6 
52.2 
51.3 
52.3 
56.4 

51.3 



51.9 
80.6 
51.4 



Per cent 
female. 



48.8 



50.7 
50.1 
50.0 
.50.6 
49.6 
49.0 
48.2 
49.4 
48.3 
47.7 
48.6 
48.3 
42.8 
38.9 
40.9 
44.4 
38.3 
39.5 
43.1 

50.1 



50.7 
60.0 
60.6 
49.6 
49.0 
80.1 

50.8 



60.8 
49.9 



50.5 
50.0 
60.6 
49.6 
49.0 
50.1 

80.1 



49.5 
60.0 
60.8 
49.9 
48.6 

.50.1 



48.5 
50.2 
51.3 
49.9 
48.6 

50.1 



60.0 
49.9 
50.4 
49.9 

48.1 



47.9 
49.4 
46.4 
47.8 
48.7 
47.7 
44.6 

48.7 



48.1 
49.4 
48.6 



1880 



Per cent 
male. 



50.9 



48.9 
49.3 
49.7 
49.0 
49.7 
50.4 
51.8 
50.6 
5L5 
62.6 
5L3 
6L6 
6L2 
65.3 
62.8 
57.6 
68.4 
6L8 
57.6 

49.4 



48.9 
49.8 
48.7 
49.8 
50.8 
49.6 

48.8 



48.8 
49.6 



49.1 
49.8 
48.7 
49.8 
50.3 
49.6 

49.5 



49.3 
49.6 
49.1 
49.5 
80.9 

49.6 



50.1 
49.0 
48.8 
49.6 
50.9 

49.4 



49.0 
49.6 
49.2 
49.5 

51.9 



52.2 
50.7 
63.5 
62.4 
61.0 
62.6 
64.0 

5L3 



52.0 
60.7 
51.5 



Per cent 
female. 



~ Figures exclude population of Indian Territory and Indian reservations. 



49 

Table 11.— PER CENT MALE AND FEMALE IN THE POPULATION, BY PHYSIOGRAPHIC DIVISIONS, FOR CONTI- 
NENTAL UNITED STATES AND FOR MAIN AND MINOR GEOGRAPHIC DIVISIONS: 1900, 1890, AND 1880— Continued. 



North Central division — Continued. 
Western North Central 



Lake region 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) 
Great plains 



South Central division , 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley : 

Allegheny plateau 

Interior timbered region 

Mississippi alluvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river) . 

Great plains 

Eocky mountains 



Eastern South Central . 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Piedmont region 

Appalachian valley 

Allegheny plateau , 

Interior timbered region 

Mississippi alluvial region 



Western South Central . 



Coast lowlands 

Coastal plain (east of the Mississippi river) . 

Mississippi al luvial region 

Prairie region 

Ozark hills 

Coastal plain (west of the Mississippi river). 

Great plains 

Rocky mountains 



Western division . 



Great plains 

Rocky mountains . 
Columbian mesas . 

Great basin 

Plateau region 

Pacific valley 

Coast ranges' 



Rocky Mountain . 



Great plains 

Rocky mountains . 
Columbian mesas . 

Great basin 

Plateau region 



Basin and Plateau . 



Great basin 

Plateau region. 



Pacific. 



Rocky mountains . 
Columbian mesas . 

Great basin 

Pacific valley 

Coast ranges 



POPULATION. 



Per cent 
male. 



52.3 



53.2 
51.4 
63.8 
62.1 
51.1 
53.0 
64.7 

51.0 



Per cent 
female. 



■19.7 
50.1 
50.8 
50.2 
51.0 
50.6 
51.3 
52.3 
52.0 
51.4 
54.0 
54.3 

60.5 



50.0 
50.1 
50.8 
50.2 
61.0 
60.5 
51.5 

51.6 



49.7 
50.6 
51.2 
52.3 
52.0 
51.4 
54.0 
54.3 

56.2 



55.1 
58.7 
57.1 
53.0 
5S.2 
68.3 
63.8 

56.9 



65.1 
58.6 
56.3 
54.0 
59.4 

54.1 



52. 2 
57.7 



56.2 



61.8 
57.4 
56.8 
58.3 
53. S 



47.7 



46.8 
48.6 
46.2 
47.9 
48.9 
47.0 
45.3 

49.0 



50.3 
49.9 
49.2 
49.8 
49.0 
49.5 
48.7 
47.7 
48.0 
48.6 
46.0 
45.7 

49.5 



50.0 
49.9 
49.2 
49.8 
49.0 
49.5 
48.5 

48.4 



50.3 
49.4 
48.8 
47.7 
48.0 
48.6 
46.0 
45.7 

43.8 



44.9 
41.3 
42.9 
47.0 
41.8 
41.7 
46.2 

43.1 



44.9 
41.4 
43.7 
46.0 
40.6 

45.9 



47,8 
42.3 



43.8 



38.2 
42.6 
43.2 
41.7 
4C. 2 



1890 



Total. 



Per cent 
male. 



52.6 



53.7 
51.1 
53.6 
52.5 
51.3 
62.3 
66.0 

61.0 



49.2 
50.0 
50.8 
50.5 
51.0 
50.4 
51.5 
53.0 
52.0 
51.7 
56.2 
67.6 

50.4 



49.0 
50.0 
50.8 
50.5 
51.0 
50.4 
51.9 

51.8 



49.3 
50.7 
.51.4 
53.0 
52.0 
51.7 
56.2 
57.6 

58.7 



58.8 
61.0 
58.9 
56.5 
58.6 
60.5 
56.9 

69.8 



58.8 
61.0 
58. 5 
.52.6 
62. 7 

55.6 



55.0 
57.1 



58.' 



61.2 
59.0 
58.8 
60.6 
56.9 



Per cent 
female. 



47.4 



46.3 
48.9 
46.4 
47.5 
48.7 
47.7 
45.0 

49.0 



50.8 
50.0 
49.2 
49.5 
49.0 
49.6 
48.5 
47.0 
48.0 
48.3 
43.8 
42.4 

49.6 



51.0 
50.0 
49.2 
49.0 
49.0 
49.6 
48.1 

48.2 



45.0 
42.9 



41.3 



38.8 
41.0 
41.2 
39.5 
43.1 



50.7 
49.3 
48.6 
47.0 
48.0 
48.3 
43.8 
42.4 

41.3 



41.2 
39.0 
41.1 
44.5 
41.4 
39.5 
43.1 

40.2 



44.4 



General enumera- 
tion. 



Per cent 
male. 



52.7 



53.7 
51.1 
53.6 
52.5 
51.3 
52.3 
65.4 

51.0 



49.3 
60.0 
60.8 
50.5 
51.0 
50.4 
51.5 
53.0 
51.4 
51.7 
56.2 
57.6 

50.4 



49.1 
50.0 
60.8 
60.5 
51.0 
50.4 
51.9 

51.8 



49.3 
50.7 
61.4 
53.0 
51.4 
81.7 
56.2 
57.6 

58.9 



69.0 
61.3 
59.1 
65.6 
61.7 
60.5 
56.9 

60.1 



59.0 
61.2 
58.9 
52.8 
65. 2 

56.3 



65.1 
60.2 



58.8 



65.5 
69.2 
69.0 
60.5 
56.9 



Per cent 
female. 



47.3 



46.3 
48.9 
46.4 
47.5 
48.7 
47.7 
44.6 

49.0 



50.7 
50.0 
49.2 
49.5 
49.0 
49.6 
48.5 
47.0 
48.6 
48.3 
43.8 
42.4 

49.6 



50.9 
60.0 
49.2 
49.5 
49.0 
49.6 
48.1 

48.2 



50.7 
49.3 
48.0 
47.0 
48.6 
48.3 
43.8 
42.4 

41.1 



41.0 
38.7 
40.9 
44.4 
38.3 
39.5 
43.1 



41.0 
38.8 
41.1 
47.2 
34.8 



44.9 
39.8 



41.2 



34.5 
40.8 
41.0 
.39.5 
43.1 



1880 



Per cent 
male. 



53.0 



54.0 
51.5 
63.5 
52.8 
51.0 
52.6 
64.0 

50.6 



49.3 
49.7 
49.3 
49.4 
50.2 
50.2 
51.4 
53.3 
51.6 
51.8 
60.3 
56.1 

50.0 



48.8 
49.7 
49.3 
49.4 
60.2 
60.2 
51.8 

81.7 



49.4 
50.1 
51.2 
53.3 
51.6 
51.5 
60.3 
56.1 

60.5 



59.5 
6.5.6 
62.8 
67.6 
68.4 
61.8 
57.6 

63.4 



69.6 
65.6 
65.4 
55.9 
74.3 

68.7 



56.6 
68.1 



59.9 



78.1 
62.3 
65.4 
61.8 
.57.6 



Percent 
female. 



50 



Table 12.— POPULATION AT LEAST 15 YEARS OF AGE ATTENDING SCHOOL DURING .THE 
CLASSIFIED BY SEX, AND PEE CENT DISTRIBUTION BY SEX: 1900 AND 1890. 



CENSUS YEAR 







POPULATION 


AT LEAST 15 YEARS OF 


.\GE ATTENDING SCHOOL 


DURING THE CENSUS 


YEAR. 




STATE OR TERRITORY. 


19U0 


1S90 


Per cent male. 


Per cent female. 




Total. 


Male. 


Female. 


Total. 


Male. 


P'emale. 


1900. 


1890. 


1900. 


1890. 




2,605,426 


1,276,810 


1,328,616 


2, 333, 146 


1,230,853 


1,102,293 


49.0 


62.8 


51.0 


47.2 








629,074 


254, 376 


274, 698 


487,833 


249,539 


238,294 


48.1 


61.2 


51.9 


48.8 








158,113 


76,910 


81,203 


142,599 


72,224 


70,375 


48.6 


50.6 


61.4 


49.4 








25,568 
10,881 
11,463 
79, 742 
8,518 
21,941 

370, 961 


12,571 
5,370 
5,743 

37, 695 
4,125 

11, 406 

177,466 


12,997 
5,511 
5, 720 

42,047 
4,393 

10,535 

193, 495 


29,216 
12, 050 
12,731 
61,534 
7,680 
19,488 

345,234 


15,446 
6,231 
6,656 

29, 791 
3,866 

10,234 

177,315 


13,770 
5,819 
6,075 

31,743 
3,714 
9,254 

167,919 


49.2 
49.4 
50.1 
47.3 
48.4 
52.0 

47.8 


52.9 
51.7 
62.3 
48.4 
51.0 
52.5 

61.4 


50.8 
60.6 
49.9 
52.7 
51.6 
48.0 

.52.2 


47.1 




48.3 




47.7 


Massachusetts 


51.6 
49.0 




47.6 




48.6 






New York 


164,009 
37, 801 
169, 151 

367,205 


77, 100 
18,201 
82, 165 

175, 365 


86, 909 
19, 600 
86, 986 

191, 840 


151,956 
32,766 
160, 512 

308,291 


77,285 
16,770 
83, 260 

166,814 


74,671 

.15,996 

77,252 

162,477 


47.0 
48.1 
48.6 

47.8 


50.9 
,51.2 
61.9 

50.5 


.53.0 
.51.9 
51.4 

52.2 


49.1 




48.8 


Pennsylvania 


48.1 
49.6 






Northern South Atlantic 


157,523 


76,104 


81,419 


142,640 


72,308 


70,332 


48.3 


50.7 


51.7 


49.3 


Delaware 


4,988 
28, 921 

9,216 
69,948 
44,450 

209, 682 


2,450 
14,619 

4,052 
32, 105 
22,878 

99,261 


2,538 
14, 302 

.5,164 
37,843 
21,572 

110,421 


4,618 
26, 913 

7,680 
64,388 
39,041 

165,651 


2,641 
14, 607 

3,247 
30,752 
21, 161 

83,506 


2,077 
12, 306 

4,433 
33, 636 
17,880 

82, 145 


49.1 

50.5 
44.0 
45.9 
51.5 

47.3 


55.0 
54.3 
42.3 
47.8 
54.2 

50.4 


50.9 
49.5 
56.0 
54.1 
48.5 

52.7 


^ 45 




46.7 


• District of Colninbia 


67 7 




52.2 


West Virginia 


45 8 


Sotithern South Atlantic 


49 6 








88, 726 
42,381 
59,448 
19, 127 

1,012,186 


43,918 
19, 447 
26, 962 
8,934 

505, 774 


44,808 
22, 934 
32,486 
10, 193 

506, 412 


64,380 
32, 886 
51,788 
16, 497 

991,764 


33,165 

16, 073 

25,822 

8,446 

.540, 144 


31, 215 

16, 913 

25,966 

8,061 

451,620 


49.5 
45.9 
45.4 
46.7 

60.0 


.51.5 
48.7 
49.9 
51.2 

64.6 


60.5 
64.1 
64.6 
53.3 

60.0 






61 3 


Georgia 


50 1 


Florida 


48.8 




46.5 








536, 881 


277,957 


278,924 


561,321 


298, 349 


252,972 


49.9 


64.1 


50.1 


45 9 








153, 576 

100,625 

156, 725 

81, 154 

64, 801 

453, 3U5 


78,801 
50, 472 
77,574 
38, 821 
32,289 

227,817 


74, 775 
60,153 
79,151 
42,333 
32, 512 

327,488 


160,085 

105, 681 

149, 221 

77,165 

59, 169 

440, 443 


87,316 
58, 278 
79, 390 
40,763 
32, 602 

241, 795 


72, 769 
47, 403 
09, 831 
36,402 
26, 567 

198, 648 


61.3 
50.2 
49.5 
47.8 
49.8 

50.0 


54.5 
.55.1 
53.2 
52.8 
55.1 

54.9 


48.7 
49.8 
,50.5 
52.2 
50.2 

50.0 




Indiana 


44 9 






Michigan 


47 "^ 






Western North Central 








Minnesota 


61,265 
100,003 
127, 286 
10, 563 
20, 003 
64, 443 
81,742 

535,012 


31,043 
48, 976 
63,013 
5,470 
10,420 
28, 032 
40,827 

263,867 


30, 222 
51,027 
64,243 
5,087 
9, 5.83 
26.411 
40, 916 

271,145 


60, 107 

102, 596 

128, 080 

5,701 

16,466 

49,374- 

88, 119 

440,352 


28, 346 
56,617 
68, 823 
3,241 
9,499 
27,363 
47, 906 

230,791 


21,761 
4.5,979 
59,257 
2,460 
6,967 
22,011 
40, 213 

209, 561 


60.7 
49.0 
49.6 
61.8 
52.1 
51.5 
49.9 

49.3 


56.6 
55.2 
63.7 
56.8 
57.7 
65.4 
54.4 

52.4 


49.3 
.51.0 
60.5 
48.2 
47.9 
48.5 
50.1 

60.7 


43 4 






Missouri 


46 3 


North Dakota 


43 2 


South Dakota 


42 3 






Kansas 


45 6 


South Central division 


47 6 








298, 166 


146,930 


161,236 


274,261 


143,072 


131,189 


49.3 


52.2 


50.7 








Kentucky 


87.185 
86,256 
63, 131 
61,594 

236, 846 


43,477 
43, 082 
31,403 
28, 968 

116, 937 


43,708 
43, 174 
31,728 
32, 626 

119, 909 


81, 914 
82, 182 
51,640 
58,525 

166, 091 


43,143 
43,860 
26, 512 
29, 557 

87,719 


38, 771 
38, 322 
26,128 
28,968 

78,372 


49.9 
49.9 
49.7 
47.0 

49.4 


52.7 
53.4 
.51.3 
50.6 

52,8 


60.1 
50.1 
50.3 
53.0 

60.6 


47 3 






Alabama 


48 7 


Mississippi-. 


49 5 










Louisiana 


26, 753 
59. .51 2 
10, 321 
19, 966 
120,294 

161,949 


12,444 
29, 981 
5, 316 
10,665 
58,631 

77, 428 


14, 309 

29,531 

5,005 

9,401 

61,663 

84, 521 


19, 605 
56,456 


9,641 
31,284 


9,964 
25,172 


46.5 
.50.4 
51.5 
52.9 
48.7 

47.8 


49.2 
55.4 


53.5 
49.6 
I 48.5 
47.1 
51.3 

62.2 


60 8 






Indian Territory 






1,343 
88,687 

104,906 


663 
46, 131 

54,665 


680 
42, 566 

59,341 


49.4 
62.0 

62.0 




Texas 


48 


Western division 


48 






Rocky Mountain 


44,870 


21,908 


22, 962 


26,111 


13, 697 


11,414 


48.8 


54.5 


61.2 


45.5 






7,331 
7,426 
2,966 
21,394 
5, 733 

20,440 


3,613 
8,682 
1,489 
10,142 
3,102 

9,909 


3,838 
3,744 
1,497 
11, 252 
2,631 

10, 531 


2,980 
3,127 
1,502 
12, 683 
4,819 

12, 029 


1,652 
1,747 
802 
6,628 
2,968 

6,285 


1,428 
1,380 
700 
6,055 
1,851 

5,744 


47.8 
49.6 
49.5 
47.4 
54.1 

48.5 


.5-. 1 
55.9 
53.4 
52.3 
61.6 

52.2 


62.2 
.50.4 
50.5 
.52.6 
45.9 

51.6 




Idaho 


44 1 






Colorado 


47 7 


New Mexico 

Basin and Plateau . . . 


38.4 
47 8 






Arizona 


3,802 

14,808 

1,830 

96, 039 


1,910 
7,118 

881 

45,611 


1,892 

7,690 

949 

51,028 


1,385 
8,995 
1,649 

67,766 


686 

4,834 

765 

34,583 


699 
4,161 

8S4 

33, 183 


60.2 
48.1 
48.1 

47.2 


49.5 
53.7 
46.4 

51.0 


49.8 
51.9 
61.9 

52,8 


50 5 


Utah 


46 3 






Pacific 


49.0 




Washington 


21,314 
19,697 
53, 628 


10, 243 
9,760 
25, 608 


11,071 
9,937 
30,020 


10, 345 
14, 719 
42,702 


5,602 

7,897 

21,084 


4,743 

6,822 

21,618 


48.1 
49.6 
46.0 


54.2 
53.7 
49.4 


.51.9 
50.4 
54.0 


46 8 


Oregon 




California 


50 6 







51 

Table 13.— PER CENT OF THE POPULATIOX 5 TO 24 YEARS OF AGE ATTENDING SCHOOL DURING THE CENSUS 
YEAR CLASSIFIED BY SEX AND RACE FOR CONTINENTAL UNITED STATES: 1900 AND 1890. 



SEX OB KACE AXD CENSUS. 



1900 

Total 

Male 

Female 

White 

Male 

Female 

Negro, Indian, and Mongolian 

Male 

Female 

1S90 

Total 

Male 

Female 

White 

Male 

Female 

Negro, Indian, and Mongolian .. 

Male 

Female 



POPUL-ITION.' 



6 to 24 
years. 



31, 845, 462 

15, 937, 468 

15, 907, 994 

27,475,797 

13,785,223 

13,690,574 

4,309,665 

2,1.52,245 

2, 217, 420 



27, 361, 746 

13, 758, 743 

13, 603, 003 

23, 6S8, 954 

11, 880, .819 

11,708,135 

3, 772, 792 

1,877,924 

1,894,868 



5 to 9 
years. 



8, 874, 123 
4, 4';9, 396 
4,394,727 
7. 638, 326 
3, 862, 349 
S, 775, 977 
1,235,797 
617,047 
618,750 



3, 830, 352 
3,743,646 
6,473,168 
3, 276, 9SS 
3,196,185 
1,100,830 
653,369 
547, 461 



10 to 14 
years. 



8, 080, 234 
4,083,041 
3,997,193 
6,959,238 
3,519.303 
3,439,935 
1,120,996 
563, 738 
557, 258 



7,033,509 
3,574,787 
3,4.58,722 
5,991,972 
3,044,0.58 
2, 917, 914 
1,041,. 537 
530, 729 
510, SOS 



15 to 24 
years. 



14,891,105 
7, 3'^5, 031 
7, 616, 074 

12,8''8,233 
6,403,571 
6, 474, 662 
2,012,872 
971. 460 
1,041:412 



12,7.51,239 
6, 353, 604 
6,400,635 
11,123,814 
5, 559, 778 
5, 564, 030 
1,030,425 
793, 826 
836, 599 



POPULATION ATTENDING SCHOOL DOEING THE 
CENSUS YEAR. 



5 years 
and over. 



13,323,122 

6, 646, 702 

6, 6^6, 420 

12, 189, 687 

6,117,170 

6,0"2,.517 

1,133,435 

529, 532 

603, 903 



11,666.548 

5, 949, 897 

5, 716, 651 

10, 659. 253 

5,460,362 

5, 198, 891 

1,007,295 

489, 535 

517, 760 



5 to 9 
years. 



4,206,302 

2,154,307 

2,111,995 

3,9^1,1"5 

2,009,800 

1,961,3'^5 

295, 127 

144,507 

150, 620 



3, 726, 044 

1,888,039 

1,838,005 

3, 459, 680 

1,786,349 

1,703,331 

266, 364 

131,690 

134, 674 



10 to 14 
years. 



6,451,394 

3, 215, 585 

3, 235, 809 

5,8i6,411 

2, 928, 743 

2,917,668 

604,983 

286, 842 

318, 141 



5, 607, 358 

2,831,005 

2,776,353 

5, 008, 809 

2,666,411 

2, 602, 398 

538, 549 

264, 594 

273, 955 



15 years 
and over. 



2, 605, 426 
1,276,810 
1,328,616 
2, 372, 101 
1,178,627 
1,193,474 

233, 325 
98, 183 

135, 142 



2,333,146 

1,230,853 

1, 102, 293 

2, 130, 764 

1,137,602 

993, 162 

202, 382 

93, 251 

109,131 



PER CENT ATTENDING SCHOOL OF 
TOTAL POPULATION IN SPECI- 
FIED AGE PERIOD. 



6 to 24 

years. 



41.8 
41.7 
42.0 
44.4 
44.4 
44.4 
25.9 
24.6 



42.6 
43.2 
42.0 
45.2 
46.0 
44.4 
26.7 
26.1 
27.3 



5 to 9 


10 to 14 


years. 


years. 


48.1 


79.8 


48.1 


78.8 


48.1 


81.0 


52.0 


84.0 


52.0 


83.2 


51.9 


84.8 


23.9 


54.0 


23.4 


50.9 


24.3 


57.1 


49.2 


79.7 


49.3 


79.2 


49.1 


80.3 


53.4 


84.6 


.53.6 


84.3 


63.3 


84.9 


24.2 


51.7 


23.8 


49.9 


24.6 


53.6 



15 to 24 
years. 



17.5 

17.3 

17.7 

18.4 

18.4 • 

18.4 

11.6 

10.1 

13.0 



18.3 
19.4 
17.2 
19.2 
20.5 
17.8 
12.4 
11.7 
13.0 



o 



IBJaXS 



